Equipment innovation is one of the crucial levers for the improvement of economic, societal and environmental performances of agriculture. In particular, precision farming is expected to be among the 10 technologies that could change our lives. Amid the different technologies enabling a greater precision of agriculture, robotics and sensors could radically change the way of farming. Automatic machines collecting and managing data, eventually feeding a bigdata approach, could provide new tools for fine-tuning farmers’ decision making and help them in mastering the environmental footprint of agriculture. Nevertheless, what is a robot from the agricultural point of view? What are the solutions under development or on the market? How to compare them? The disruptive transformation of the agricultural machinery market requires the definition of new landmarks, especially for agronomists who are facing new opportunities and technologies. We present here the early results of a comparative overview realized by a group of students in agronomy and specializing in agricultural equipment and new technologies at UniLaSalle. The five students were asked to provide figures and a summary of the agricultural robots available in France, either on the market or upcoming. Firstly, they defined what a “robot” is. They referred to Coiffet (2007) who considers “robot” a machine for the human assistance executing a work or a physical task, either as a tool handled during the execution of the task or capable to perform the work without human intervention. Accordingly, the database includes only agricultural machines fulfilling at least two out of the three following criteria: the capability to execute a task, the operational flexibility, the self-adaptability to the working environment. Three robot classes were identified (decision, assistance or substitution) further classified in two agricultural domains and related operational subdomains: crop production (including permanent crops, horticulture, field crop and other crops) and breeding (including cattle, poultry, and pig). Out of a 4 months work, the database finally contains 98 robots from 70 enterprises, with full specifications retrieved from more than 300 websites and 7 French agricultural journals, as well as through the participation to some specialized fora. For comparison, the “Agricultural Robots” report by Tractica highlighted 149 profiles over a comparable time period. Drawing upon a solid background in agronomy, the students analysed the farming operation performed by the listed robots, with a focus on the vehicle-soil interface. Altogether, the design and development of this database can provide agronomists with an up-to-date comparative grid of the existing and upcoming agricultural robots. Identifying clear landmarks in the high pace robot landscape will enhance the agronomic evaluation and enable a clearer understanding of robot relevance for farmers.
Keynote for the 9th International Scientific Conference
RURAL DEVELOPMENT 2019: Research and Innovation for Bioeconomy, 26-28th September 2019 Vytautas Magnus University | Akademija, Kaunas district, Lithuania http://www.ruraldevelopment.lt
This talk provides an overview of the multiple, sometimes contrasting perspectives on agtech players and their role for future agriculture and challenges for education and training (in France).
An overview of weeding by robots – focus on European solutionsDavide Rizzo
This presentation addressed an overview of the European context, mowing towards data-intensive farming, driven by the agfood sector. It is an invited presentation in the framework of a meeting coordinated by Matthew Cutulle (Clemson University) for a Specialty Crop Research Initiative (SCRI) planning grant about Robotic Weed Control in Specialty Crops. The meeting was organized as a side event during the Southeast Regional Fruit and Vegetable Conference. The presentation provides an overview of European trends on the topic, with a focus on the French institutional perspective aiming at the support and development of agricultural robotics to face the lack of labour and the willingness to phase out glyphosate. In this context, the RobAgri association was presented. The last part lists some sources of information about agricultural robotics, with a list of European sources of information on agricultural robotics and automation. The presentation ends with a list of robot examples that were compared from the agronomic point of view.
Strip-Till for Fine Seedbed Preparation in Silty Soil Davide Rizzo
The sustainable intensification process has though two main barriers: the learning curve to master new techniques and the cost of equipment suited for the new practices. This communication aims to discuss a project of strip-till design following an innovation system approach. First, we present the agronomic challenge and our approach for a custom supply development. Then, we discuss the relevance of our some early outcomes for the wider goal of sustainable intensification of crop production.
Distribution of precision agriculture technologies: a first survey of French ...Davide Rizzo
Precision agriculture technologies (PAT) are very diversified. The proliferation of precision agriculture products and services, as well as of their providers can confuse farmers. In addition, the lack of agronomic references for these technologies is slowing their adoption. The organization and development of the distribution network can help the providers of PAT to support farmers and other end customers. This study describes how PAT are being addressed by ordinary dealers of agricultural machinery and equipment. We aimed at identifying the main trends in the distribution of PAT among dealers, as well as the obstacles and the expected added value of these technologies for their business. We focused on metropolitan France as the first European country for agricultural production and highly committed to the development of agtech. A series of semi-direct interviews was realized on a sample covering the main tractor manufacturers on the national territory, the involvement of the dealer manager in the national trade union (i.e., SEDIMA) and already offering PAT. The interview consisted of four parts: (i) current offer by the dealership and level of PAT use/equipment by customers; (ii) 5-years strategy of the dealership about these technologies; (iii) changes in personnel (recruitment, training, etc.) and organization related to these new products/services; (iv) identification of expected added value and obstacles. The notes taken during the phone interviews were coded into themes and topics to ensure harmonization and comparability, then analyzed to provide summary statistics, and to identify main trends and recommendations about the distribution of PAT.
FULL PAPER available at https://doi.org/10.5281/zenodo.5602074
A robot from the scratch in 5 months. How agronomy students could master agri...Davide Rizzo
Education and training are identified as key elements to support precision agriculture in Europe and operationalize the transition towards sustainable production systems. In particular, the French agricultural machinery sector is aware that leveraging precision agriculture requires a closer consideration of the farmers’ needs. Hence, educational programs are expected to bridge the gap between agriculture and machinery design and innovation. In this paper we will discuss the learning process that led a group of students in agronomy at mastering robotics and how this could help improving educational programs on agricultural equipment. The context was a competition organized by a French applied agricultural research organization that challenged students to build a robot for the mechanical weeding of sugar beet. The teachers adopted a design thinking approach, supporting the students only if needed, rather promoting the students’ appropriation of the subject. The farming experience of the students allowed them to choose the simplest sensor, which used the plants as physical boundaries of the robot navigation corridor. This simple and robust solution exploited the agronomic characteristics of the sugar beet that is sown on straight lines and it is not damaged by physical contact. Furthermore, this choice was suited for working in field conditions and easily understandable by the practitioners. In conclusion, we discuss the lessons learned about the environmental and educational conditions that allowed this experience and that could help agricultural students and farmers at mastering new technologies and equipment innovation.
Do the robots dream of farmers? Future perspective of the algorithmization an...Davide Rizzo
The talk will guide the audience through the journey towards algorithm-wise agriculture already in action with agricultural robots and sophisticated decision support systems. An open event within the Pondering BEYOND seminars, a video-conferences series highlighting research on themes related to BEYOND presented by the project’s participants, their international collaborators and invited guests (27 September 2021)
Landscape agronomy: Bibliometric insights on key issues and background topics of a conceptual framework. Communication at the 10th world congress of the International Association of Landscape Ecology, 1-5 July 2019 Milan Italy
Farmer-oriented innovation: outcomes from a first bootcampDavide Rizzo
An interdisciplinary team held a bootcamp to develop farmer-oriented innovation projects using open-source technologies like Arduino and Raspberry Pi. Four projects were developed by farmers and students to monitor various agricultural data through IoT sensors and provide alerts or analyses to farmers. The bootcamp achieved its goals of enabling participants to innovate using affordable open-source tools and providing a model for future collaboration between farmers, students, and experts to develop precision agriculture solutions.
Keynote for the 9th International Scientific Conference
RURAL DEVELOPMENT 2019: Research and Innovation for Bioeconomy, 26-28th September 2019 Vytautas Magnus University | Akademija, Kaunas district, Lithuania http://www.ruraldevelopment.lt
This talk provides an overview of the multiple, sometimes contrasting perspectives on agtech players and their role for future agriculture and challenges for education and training (in France).
An overview of weeding by robots – focus on European solutionsDavide Rizzo
This presentation addressed an overview of the European context, mowing towards data-intensive farming, driven by the agfood sector. It is an invited presentation in the framework of a meeting coordinated by Matthew Cutulle (Clemson University) for a Specialty Crop Research Initiative (SCRI) planning grant about Robotic Weed Control in Specialty Crops. The meeting was organized as a side event during the Southeast Regional Fruit and Vegetable Conference. The presentation provides an overview of European trends on the topic, with a focus on the French institutional perspective aiming at the support and development of agricultural robotics to face the lack of labour and the willingness to phase out glyphosate. In this context, the RobAgri association was presented. The last part lists some sources of information about agricultural robotics, with a list of European sources of information on agricultural robotics and automation. The presentation ends with a list of robot examples that were compared from the agronomic point of view.
Strip-Till for Fine Seedbed Preparation in Silty Soil Davide Rizzo
The sustainable intensification process has though two main barriers: the learning curve to master new techniques and the cost of equipment suited for the new practices. This communication aims to discuss a project of strip-till design following an innovation system approach. First, we present the agronomic challenge and our approach for a custom supply development. Then, we discuss the relevance of our some early outcomes for the wider goal of sustainable intensification of crop production.
Distribution of precision agriculture technologies: a first survey of French ...Davide Rizzo
Precision agriculture technologies (PAT) are very diversified. The proliferation of precision agriculture products and services, as well as of their providers can confuse farmers. In addition, the lack of agronomic references for these technologies is slowing their adoption. The organization and development of the distribution network can help the providers of PAT to support farmers and other end customers. This study describes how PAT are being addressed by ordinary dealers of agricultural machinery and equipment. We aimed at identifying the main trends in the distribution of PAT among dealers, as well as the obstacles and the expected added value of these technologies for their business. We focused on metropolitan France as the first European country for agricultural production and highly committed to the development of agtech. A series of semi-direct interviews was realized on a sample covering the main tractor manufacturers on the national territory, the involvement of the dealer manager in the national trade union (i.e., SEDIMA) and already offering PAT. The interview consisted of four parts: (i) current offer by the dealership and level of PAT use/equipment by customers; (ii) 5-years strategy of the dealership about these technologies; (iii) changes in personnel (recruitment, training, etc.) and organization related to these new products/services; (iv) identification of expected added value and obstacles. The notes taken during the phone interviews were coded into themes and topics to ensure harmonization and comparability, then analyzed to provide summary statistics, and to identify main trends and recommendations about the distribution of PAT.
FULL PAPER available at https://doi.org/10.5281/zenodo.5602074
A robot from the scratch in 5 months. How agronomy students could master agri...Davide Rizzo
Education and training are identified as key elements to support precision agriculture in Europe and operationalize the transition towards sustainable production systems. In particular, the French agricultural machinery sector is aware that leveraging precision agriculture requires a closer consideration of the farmers’ needs. Hence, educational programs are expected to bridge the gap between agriculture and machinery design and innovation. In this paper we will discuss the learning process that led a group of students in agronomy at mastering robotics and how this could help improving educational programs on agricultural equipment. The context was a competition organized by a French applied agricultural research organization that challenged students to build a robot for the mechanical weeding of sugar beet. The teachers adopted a design thinking approach, supporting the students only if needed, rather promoting the students’ appropriation of the subject. The farming experience of the students allowed them to choose the simplest sensor, which used the plants as physical boundaries of the robot navigation corridor. This simple and robust solution exploited the agronomic characteristics of the sugar beet that is sown on straight lines and it is not damaged by physical contact. Furthermore, this choice was suited for working in field conditions and easily understandable by the practitioners. In conclusion, we discuss the lessons learned about the environmental and educational conditions that allowed this experience and that could help agricultural students and farmers at mastering new technologies and equipment innovation.
Do the robots dream of farmers? Future perspective of the algorithmization an...Davide Rizzo
The talk will guide the audience through the journey towards algorithm-wise agriculture already in action with agricultural robots and sophisticated decision support systems. An open event within the Pondering BEYOND seminars, a video-conferences series highlighting research on themes related to BEYOND presented by the project’s participants, their international collaborators and invited guests (27 September 2021)
Landscape agronomy: Bibliometric insights on key issues and background topics of a conceptual framework. Communication at the 10th world congress of the International Association of Landscape Ecology, 1-5 July 2019 Milan Italy
Farmer-oriented innovation: outcomes from a first bootcampDavide Rizzo
An interdisciplinary team held a bootcamp to develop farmer-oriented innovation projects using open-source technologies like Arduino and Raspberry Pi. Four projects were developed by farmers and students to monitor various agricultural data through IoT sensors and provide alerts or analyses to farmers. The bootcamp achieved its goals of enabling participants to innovate using affordable open-source tools and providing a model for future collaboration between farmers, students, and experts to develop precision agriculture solutions.
Artificial intelligence in agriculture reportmaryqute520
This document discusses the potential applications of artificial intelligence in agriculture. It notes that AI can help address challenges facing agriculture like limited arable land, changing climate/weather, and the need for increased productivity. Specifically, it discusses how technologies like GPS, mobile communications, computer vision, and robotics enable applications of AI in areas like precision agriculture, crop monitoring, automation, and more. It provides recommendations for several reports and papers on topics like data mining, autonomous machines, and mobile sensor networks in agriculture.
Artificial intelligence has great potential to help address challenges in agriculture and improve efficiency. It can be used for weather forecasting to help farmers determine optimal sowing times, soil and crop health monitoring to identify nutrient deficiencies and diseases, and analyzing crop health with drones to detect issues early. While AI is already being used in these applications, the industry remains underserved and challenges like irregular water access and climate change still exist. Further development of robust AI solutions could help automate farming tasks to boost yields and quality using fewer resources to help address food demands of a growing population.
Agriculture technology trends 2021: Collaborating tech with agricultureKaty Slemon
Explore how AI/ML, IoT, Blockchain, Automation, & GIS are disrupting Agriculture technology trends & why you should tread towards expanding your Agro business.
AI for intelligent services in Food SystemsSjaak Wolfert
This presentation was presented at the IEEE 5G Worldforum in a session 'Dialogues between 5G/B5G and Vertical Domains: AI for Intelligent Services. Several use cases in Food Systems that use 5G are presented of which the 'weed detection robot' in more detail. Enabling factors and recommendations for the use of 5G to create intelligent services using AI are discussed.
This document discusses how digital technologies can support the implementation of National Adaptation Plans (NAPs) for agriculture. It outlines four key elements of the NAP process and provides examples of digital solutions that could help with each element. Connectivity across Africa and solutions for limited connectivity are also discussed. The document concludes that improved connectivity, access to data, public-private partnerships, and attention to emerging technologies can help transform agriculture and food systems to achieve climate adaptation goals.
Digital Farming: Producing more with less in a sustainable way - OECD Pestici...OECD Environment
26 June 2019: The Pesticides Risk Reduction Seminar provided a good opportunity for experts in OECD governments and stakeholders to share their knowledge, experience and possible concerns in the area of Evolving Digital and Mechanical Technologies for Pesticides and Pest Management.
FOODIE project has just entered in the last 6 months of its lifetime. This issue intends to keep you updated about the
progress in pilot sites and technical activities. Scroll down and find out important dates to be saved in your agenda! Do
not miss the last occasions to meet project partners!
This document discusses using technology like drones, machine learning, and cloud computing to help address global food challenges. It notes that the world population is projected to reach 9.8 billion by 2050, but currently over 2 billion people are malnourished and 805 million go hungry each night. New technologies can help farmers collect field data to increase crop yields and reduce waste, helping to feed more people. Drones and autonomous tractors can monitor fields and precisely apply inputs. Analyzing agricultural data using machine learning can provide predictions to help farmers and agencies. Embracing these technologies may attract youth back to farming and drive the next agricultural revolution.
FIRA 2018 - Marc Vanacht - AG Business ConsultantsFIRA
This document provides an overview of robots used in crop agriculture. It lists over 50 different robot projects from around the world, organized by type, size, developer/funder, and stage of development. The document notes that robots solve diverse problems, come in many sizes and forms, and are at various stages from prototypes to commercial products. Funding comes from a variety of sources including governments, universities, venture capital and corporations. In conclusion, the landscape of agricultural robots is constantly evolving and this presentation is already outdated.
This document discusses information and communication technology (ICT) usage in agriculture according to the Agricultural Research Institute of Cyprus. It provides an overview of ICT projects at the Institute, including using remote sensing to monitor crop evapotranspiration and irrigation needs. Statistics show that while ICT adoption by Cypriot farmers lags behind the EU and US, it is increasing over time. The Institute develops applications to disseminate agricultural research and supports directions like precision agriculture using IoT, AI, drones and robotics.
Dr. Chandrashekhar Biradar presented on using digital augmentation and big data to accelerate eco-friendly agriculture in Egypt. Exponential growth in digital data from satellites, sensors and mobiles now enables site-specific farming decisions through analytics and apps. Digital tools and citizen science can close the digital divide if properly implemented. The focus should be on inclusive agroecosystems for food and nutrition security while protecting the environment. Restoring agroecology and rural welfare should be prioritized for sustainable development, health and the planet.
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
Krijn J. Poppe presented on economic and scientific collaboration between East and West. He discussed trends in science and innovation such as the focus on multi-actor and interdisciplinary research. Collaboration between East and West could focus on topics like ICT, precision farming, and supply chain integration. Organizing collaboration through Horizon 2020 projects, public-private partnerships, and programs like the EBRD could help strengthen interaction in research between East and West.
Precision Agriculture for smallholder farmers: Are we dreaming?CIMMYT
Presentation delivered by Dr. Bruno Gerard (Global Conservation Agriculture Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
The newsletter provides an update on the FOODIE project, which aims to provide an open data platform for agricultural services. It discusses the ongoing pilots in Spain, Czech Republic, and Germany. It also summarizes past and upcoming events where the project has been presented, and outlines activities over the next months, including continuing to develop the pilots and presenting at various agriculture conferences.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
Artificial intelligence in agriculture reportmaryqute520
This document discusses the potential applications of artificial intelligence in agriculture. It notes that AI can help address challenges facing agriculture like limited arable land, changing climate/weather, and the need for increased productivity. Specifically, it discusses how technologies like GPS, mobile communications, computer vision, and robotics enable applications of AI in areas like precision agriculture, crop monitoring, automation, and more. It provides recommendations for several reports and papers on topics like data mining, autonomous machines, and mobile sensor networks in agriculture.
Artificial intelligence has great potential to help address challenges in agriculture and improve efficiency. It can be used for weather forecasting to help farmers determine optimal sowing times, soil and crop health monitoring to identify nutrient deficiencies and diseases, and analyzing crop health with drones to detect issues early. While AI is already being used in these applications, the industry remains underserved and challenges like irregular water access and climate change still exist. Further development of robust AI solutions could help automate farming tasks to boost yields and quality using fewer resources to help address food demands of a growing population.
Agriculture technology trends 2021: Collaborating tech with agricultureKaty Slemon
Explore how AI/ML, IoT, Blockchain, Automation, & GIS are disrupting Agriculture technology trends & why you should tread towards expanding your Agro business.
AI for intelligent services in Food SystemsSjaak Wolfert
This presentation was presented at the IEEE 5G Worldforum in a session 'Dialogues between 5G/B5G and Vertical Domains: AI for Intelligent Services. Several use cases in Food Systems that use 5G are presented of which the 'weed detection robot' in more detail. Enabling factors and recommendations for the use of 5G to create intelligent services using AI are discussed.
This document discusses how digital technologies can support the implementation of National Adaptation Plans (NAPs) for agriculture. It outlines four key elements of the NAP process and provides examples of digital solutions that could help with each element. Connectivity across Africa and solutions for limited connectivity are also discussed. The document concludes that improved connectivity, access to data, public-private partnerships, and attention to emerging technologies can help transform agriculture and food systems to achieve climate adaptation goals.
Digital Farming: Producing more with less in a sustainable way - OECD Pestici...OECD Environment
26 June 2019: The Pesticides Risk Reduction Seminar provided a good opportunity for experts in OECD governments and stakeholders to share their knowledge, experience and possible concerns in the area of Evolving Digital and Mechanical Technologies for Pesticides and Pest Management.
FOODIE project has just entered in the last 6 months of its lifetime. This issue intends to keep you updated about the
progress in pilot sites and technical activities. Scroll down and find out important dates to be saved in your agenda! Do
not miss the last occasions to meet project partners!
This document discusses using technology like drones, machine learning, and cloud computing to help address global food challenges. It notes that the world population is projected to reach 9.8 billion by 2050, but currently over 2 billion people are malnourished and 805 million go hungry each night. New technologies can help farmers collect field data to increase crop yields and reduce waste, helping to feed more people. Drones and autonomous tractors can monitor fields and precisely apply inputs. Analyzing agricultural data using machine learning can provide predictions to help farmers and agencies. Embracing these technologies may attract youth back to farming and drive the next agricultural revolution.
FIRA 2018 - Marc Vanacht - AG Business ConsultantsFIRA
This document provides an overview of robots used in crop agriculture. It lists over 50 different robot projects from around the world, organized by type, size, developer/funder, and stage of development. The document notes that robots solve diverse problems, come in many sizes and forms, and are at various stages from prototypes to commercial products. Funding comes from a variety of sources including governments, universities, venture capital and corporations. In conclusion, the landscape of agricultural robots is constantly evolving and this presentation is already outdated.
This document discusses information and communication technology (ICT) usage in agriculture according to the Agricultural Research Institute of Cyprus. It provides an overview of ICT projects at the Institute, including using remote sensing to monitor crop evapotranspiration and irrigation needs. Statistics show that while ICT adoption by Cypriot farmers lags behind the EU and US, it is increasing over time. The Institute develops applications to disseminate agricultural research and supports directions like precision agriculture using IoT, AI, drones and robotics.
Dr. Chandrashekhar Biradar presented on using digital augmentation and big data to accelerate eco-friendly agriculture in Egypt. Exponential growth in digital data from satellites, sensors and mobiles now enables site-specific farming decisions through analytics and apps. Digital tools and citizen science can close the digital divide if properly implemented. The focus should be on inclusive agroecosystems for food and nutrition security while protecting the environment. Restoring agroecology and rural welfare should be prioritized for sustainable development, health and the planet.
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional...Sjaak Wolfert
• Build local digital innovation hubs offering innovation services and access
to finance
• Organize regional challenges for initiating new Innovation Experiments
• Conduct multi-actor Innovation Experiments for a digital transformation
• Creating a pan-European network of Digital Innovation Hubs
and Competence Centres
A session on "Digitalization of Agriculture" at Entrepreneurship Conclave organized by Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay.
Krijn J. Poppe presented on economic and scientific collaboration between East and West. He discussed trends in science and innovation such as the focus on multi-actor and interdisciplinary research. Collaboration between East and West could focus on topics like ICT, precision farming, and supply chain integration. Organizing collaboration through Horizon 2020 projects, public-private partnerships, and programs like the EBRD could help strengthen interaction in research between East and West.
Precision Agriculture for smallholder farmers: Are we dreaming?CIMMYT
Presentation delivered by Dr. Bruno Gerard (Global Conservation Agriculture Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
The use of technology and artificial intelligence in agriculture is more common every day. In Summar Financial we focus our efforts on helping the United States leading companies to expand the market. Join us and ask for our finance programs!
The newsletter provides an update on the FOODIE project, which aims to provide an open data platform for agricultural services. It discusses the ongoing pilots in Spain, Czech Republic, and Germany. It also summarizes past and upcoming events where the project has been presented, and outlines activities over the next months, including continuing to develop the pilots and presenting at various agriculture conferences.
IRJET- Smart Farming Crop Yield Prediction using Machine LearningIRJET Journal
The document proposes a method for smart farming and crop yield prediction using machine learning algorithms like Support Vector Machine and Random Forest. Historical agricultural data on factors like moisture, rainfall, temperature and humidity is collected and analyzed to predict crop yields and whether conditions will be excellent, good, or poor. The goal is to help farmers increase profits by providing insights into how environmental conditions impact crops.
FOODIE project has entered in the last year of its schedule. This seventh issue covers the period from March 2016 to
June 2016 and gives evidence of the more mature technical results and progress in pilot sites. In addition, you are
provided with an overview of the upcoming events and a brief summary of the past events where the FOODIE Team
presented the project. We hope you find the information interesting!
Large ICT-projects in Agri-Food in EuropeSjaak Wolfert
This is a presentation about the background, development and state-of-the-art of large ICT-projects in Agri-Food that are going on in Europe: Internet of Food and Farm 2020 (IoF2020) and SmartAgriHubs.
The Spanish pilot of the FOODIE project is taking place in Galicia, Spain on 160 hectares of vineyards owned by Terras Gauda. The project aims to implement precision viticulture techniques through initial zoning of parcels, installation of sensors to monitor variability, and evaluation of grape production and wine quality based on zoning. SERESCO is leading the pilot and working with Terras Gauda to define requirements, analyze results, and provide oenological expertise.
The document discusses the SWAMP project, which develops and assesses an IoT-based smart water management platform for precision irrigation in agriculture. The SWAMP project focuses on pilots in Italy, Spain, and Brazil to test the platform in various crop types, countries, and climates. It also addresses challenges in EU-Brazil collaboration on joint research calls, emphasizing the need for real collaboration between partners in different continents and involvement of users in pilots.
This document outlines the development of specifications for a Black Sea Smart Farming Platform. It discusses goals of creating a one-stop-shop to help farming communities in the Black Sea region become more competitive through digital transformation. It identifies technical gaps such as a lack of flexible tools and market knowledge. The platform will address these by providing an environment for cross-sector collaboration, learning resources on smart technologies, and a start-up section to support new initiatives. A work plan is then presented outlining tasks over several months to develop content on agriculture sectors, technology providers, learning modules, start-up support and a stakeholder survey. Progress meetings will be held regularly to discuss challenges and ensure synchronized progress.
This document summarizes an event on innovative ideas for agriculture. It discusses the FIWARE project background and phases, as well as the FRACTALS project. FRACTALS aims to provide grants and support to 50-60 SMEs to develop apps for agriculture using FIWARE technologies. It will provide technical support, app validation through an existing user community, and entrepreneurial mentoring. Eligible projects must enhance farm productivity, access markets, or improve public services using FIWARE.
This document provides information about the FRACTALS project, which aims to support SMEs and web entrepreneurs in developing innovative applications for the agricultural sector using FI-WARE infrastructure. FRACTALS will run an open call to fund 50-60 sub-projects from SMEs, offering grants of €50,000-€150,000 each. Successful applicants will receive technical support and have their applications validated through a living lab. The open call will launch on November 30th 2014, with a deadline of February 28th 2015 for applications to be evaluated. Eligible projects must integrate FI-WARE technologies and be in areas like enhancing farm productivity, accessing markets, or improving public services.
The PRIMA programme calls found that the success rate for Section 1 projects was very low at 2% and South Mediterranean countries were underrepresented with only one coordinator out of 36 funded projects. To address this, PRIMA will make changes such as increasing the call budget, decreasing maximum project budgets, providing more capacity building for Southern researchers, and working with national funding agencies on aligned rules and procedures. The goal is to increase the Section 1 success rate to 7% and have more balanced representation from South Mediterranean countries going forward.
This document discusses how IoT can enable smart farming and food systems. It describes an ecosystem of apps that can push data between farmers, equipment, weather services, and government agencies to optimize activities like pesticide spraying. The IoF2020 project aims to demonstrate IoT business cases across the food sector through large-scale trials. It will integrate available technologies, address user needs, and establish an IoT ecosystem to facilitate large-scale adoption of IoT in European agriculture and food.
Keith Wiebe, Shanila Dunston, Jim Woodhill, Steven Prager, and Ignacio Perez
WEBINAR
Launching the Global Foresight for Food and Agriculture Tool
Co-Organized by the Food Security Portal, IFPRI, and the CGIAR Research Program on Policies, Institutions, and Markets (PIM)
DEC 18, 2019 - 10:00 AM TO 11:00 AM EST
Issue 2 (M8), was released in October 2014. It was mainly dedicated to the progresses related to pilot scenarios and FOODIE Service Platform Specification, based on the initial elicitation of FOODIE pilots’ descriptions and end-user requirements for the scope of tailoring the services that will fulfil user concrete and daily needs.
The document summarizes a session on food security, sustainable agriculture, marine research and the bioeconomy. It provides an overview of Horizon 2020 priority areas and funding opportunities related to this theme. These include developing healthy and sustainable food systems, environmentally-friendly agricultural production, innovative food value chains, and building research capacities. Timelines for upcoming calls and information on other relevant EU programs are also presented. Speakers from research organizations and companies will discuss trends in Horizon 2020 work programs and policies influencing the agricultural sector in future years.
GADCO is an integrated agri-food company in West Africa that produces and markets cereal-based foods under its Copa brand. It has a 'shared value' business model that aims to build competitive products while transforming livelihoods. Through its Copa Connect program, GADCO provides services, infrastructure and market access to smallholder farmers to increase their productivity and incomes. Trials show Copa Connect farmers achieved over 180% higher revenues and 400% higher net incomes compared to non-participants. GADCO's approach aims to sustainably link thousands of smallholders to growing food markets.
Mohamed Hag Ali Hassan
POLICY SEMINAR
Science and Innovation for Food Systems Transformation – follow up to the 2021 UN Food Systems Summit
In cooperation with the former Scientific Group of the 2021 UN Food Systems Summit
APR 11, 2023 - 9:30 TO 11:00AM EDT
FRACTALS is a project that started on September 1 2014 and will distribute a total grant support of 5,52
m € to 50‐60 SMEs and Web entrepreneurs from all over Europe to develop Future Internet based
applications for the Agricultural Sector. The FRACTALS Open Call has been launched on 30 November, while the Call will remain open until the 28 of February 2015.
Similar a Trends in Agricultural Robots. A Comparative Agronomic Grid Based on a French Overview (20)
Is farming technology innovation locus dependent? Making of an agricultural F...Davide Rizzo
Innovation has multiple targets – products, production processes, marketing, stakeholders’ organizations, etc. – whose nature depends upon the socio-technical framework that orients the match between inventions and market. Amid the wealth of options to facilitate innovation, fablabs are a specific example of the digitalisation era. Originally, a fablab is “the educational outreach component of MIT’s Center for Bits and Atoms” whose identity is defined by a charter that connects local labs to the global network. Fablabs’ goal is to provide a stimulus for local entrepreneurship as well as for learning and innovation by providing access to tools for digital fabrication. This paper aims at understanding the role of fablabs and other third places in the specific context of farming technology innovation. To this end, we propose a genetic-like analysis (i.e. genotype x environment x management practices), by addressing the historical identity and traits of FTI actors, the description of the main characteristics and dynamics of the place where they are based and the innovation governance put in practice to enhance their interactions. The approach was applied at two levels: first, the main actors of the farming technology innovation in Europe, ending with a bibliometric analysis of the available literature about fablabs, makerspaces and living labs, with a focus on agriculture. Then, a case study from northern France to describe the making of AgriLab, a fablab dedicated to open innovation towards sustainable agriculture, spanning from equipment to digital tools. AgriLab is based in Beauvais (Hauts-de-France region), together with several other local and international actors of farming technology innovation. In conclusion, we question the role of third places and AgriLab as catalysts for the emergence of relevant farming technology innovations considering the influence from the local and wider context.
Full paper available at https://zenodo.org/record/6420888
Carbon farming: le esperienze degli agricoltori francesi ed europeiDavide Rizzo
Il carbon farming richiede il tracciamento e la tracciabilità delle operazioni agricole. In tal senso sfrutta la digitalizzazione agricola, in tumultuoso sviluppo per capacità di raccolta e trattamento dati. In questa presentazione si riporta una sintesi dell'orientamento strategico francese verso l'eco-efficienza delle pratiche. La frammentazione degli operatori e la domanda crescente di servizi trova soluzione nello sviluppo di piattaforme relazionali di aggregazione e trattamento dati, di cui sono forniti molti esempi. Un ruolo particolare è svolto dalle piattaforme di tracciamento dati, in parallelo alla definizione dei codici di condotta per la gestione della proprietà dei dati. In conclusione si riportano alcuni consigli di lettura per approfondire il tema.
Research topics in crop diversification literature at the landscape level: ea...Davide Rizzo
Crop diversification has many benefits both at the cropping system and the food system levels and has been addressed in agricultural research (Hufnagel et al., 2020). Landscape design and management in agricultural regions can support crop diversification by building bridges with scientific domains like ecology and geography (Benoit et al., 2012). Though, little is known on how the research community has addressed the crop diversification within a landscape perspective. In this paper we investigated a bibliographic corpus retrieved from the Scopus database papers coupling crop diversification and landscape (in title, abstract and keywords), retrieving 461 papers for the period 1990 to 2020. The corpus was analysed using the CorText platform (e.g., Ruiz-Martinez et al., 2015). First, natural language processing was used to extract multi-terms from title, abstract and keywords. Then, we mined the temporal dynamics and co-occurrence of the 100 most frequent terms. Our findings showed that species richness emerges as the main topic in this corpus, and that natural enemies, crop types and natural control increased in importance. In the last years, genetic diversity, climate change and agricultural production also gained attention. On the contrary, land use and some of the terms related to diversity (landscape, plant and farmland) were marginal or decreasing. By analysing the terms co-occurrence on the three decades, we observed that the papers addressing crop varieties and agroforestry system split into two streams: one about agricultural production in relation to climate change and the other about farm size and land use. Instead, the functional diversity and field margin disappeared from the recent literature. Land use patterns and landscape diversity converged mainly on studies about biological pest control. Altogether, the corpus highlighted that the spatial configuration lost in importance when addressing crop diversification. In addition, the species diversity gained in attention finally catching a large part of the literature in the corpus. From a landscape approach perspective, we might point out the apparent lack of a major topic: the involvement of local community and stakeholders. Our simple and rapid text mining approach yielded early evidence of knowledge gaps about the landscape level in crop diversification literature. The expected contribution of approaching the crop diversification at the landscape level would be to provide a relevant framework for the characterisation of the baseline system to be diversified. In particular, the landscape agronomy perspective stressed the need to define the scale and target area for crop diversification consistently with (natural and cultivated) species diversity embedded in a local socio-technical system.
Panorama des leviers d’action disponible pour la gestion des cultures Rôle de...Davide Rizzo
Les nouvelles technologies apportent beaucoup de possibilités pour la transition agroécologique. Il convient de se saisir de ces opportunités et de les positionner de façon pertinente pour apporter une valeur ajoutée pour la protection des cultures
Evoluzione dell’Agritech in Europa. Dalla robotica alle nuove tecnologie per ...Davide Rizzo
Presentazione per il seminario online del progetto TRAINAGRO dal titolo "Uso sostenibile dei prodotti fitosanitari: trasformare il dato aziendale in informazione" del 29 marzo 2021.
Transition agroécologique - quel apport de l'agtech ?Davide Rizzo
Quel est l'apport des nouvelles technologies pour l'agriculture (agtech) au déploiement de la transition agro-écologique. Un rapide aperçu des mythes et limithes des innovations liées à la numérisation de connaissances en agriculture. Intervention invitée dans le cadre de la 3e conférence sur la résilience agricole organisée par les élèves ingénieurs d'UniLaSalle. La vidéo est disponible à la minute 12 du live:
https://youtu.be/uAUEbUgvtbI?t=752
Monte Pisano Venti anni di esperienze Rizzo Gennai Schott 2020Davide Rizzo
Contributo alla tutela del paesaggio agrario terrazzato toscano: bilancio di venti anni di esperienze di studio della fragilità delle sistemazioni idraulico-agrarie del Monte Pisano.
Davide Rizzo, agronomo, e Sabine C. Gennai-Schott, geografa
Il Monte Pisano si trova nella Toscana occidentale, lungo la costa tirrenica, oggi caratterizzato da oliveti terrazzati nella fascia pedecollinare, con pinete, residui castagneti e bosco misto nella fascia più alta. L'olivicoltura in questo ambiente terrazzato ad alta intensità di manodopera non è più praticabile senza un approccio multifunzionale ed è oggi gestita da alcuni agricoltori professionisti e molti olivicoltori hobbisti/amatoriali. Il grande incendio del settembre 2018 fece conoscere quest’area a livello nazionale. In realtà da lunghissima data il Monte Pisano è oggetto di studi, in particolare dell’Università di Pisa per gli aspetti naturalistici, litologici e culturali. Da un paio di decenni i ricercatori del Land Lab della Scuola Superiore Sant’Anna si sono focalizzati sugli aspetti socio-tecnici. A inizio anni 2000 Mariassunta Galli iniziò con uno studio sulle pratiche agricole sostenibili contestualizzate alla gestione dei territori e alle politiche di sviluppo rurali, che fece emergere il bisogno di conoscenze sul sistema terrazzato per sostenere gestione di recupero post-incendio. La cartografia dettagliata dei terrazzamenti di tre dei sette comuni dell’area fu rinforzata dalla produzione di un manuale di gestione degli elementi terrazzati e alcune proposte di recupero della sentieristica. Infine, in anni più recenti il quadro fu completato dallo studio dei profili degli olivicoltori hobbisti, in particolare delle loro motivazioni e vincoli. Nel loro insieme i risultati di questi studi hanno permesso l’iscrizione del Monte Pisano come uno dei casi di riferimento nei due recenti incontri dell’alleanza mondiale dei paesaggi terrazzati (ITLA 2016 e 2019). Inoltre, la comunità locale ha fatto propri i risultati attivando uno sportello di agroecologia, punto di coordinamento e diffusione dei vari saperi. Tra le altre iniziative si segnala la fondazione di una scuola di potatura dell’olivo il cui obiettivo è divulgare un approccio semplificato alla potatura dell’olivo a fini produttivi. In conclusione, il bilancio di vent’anni di studio della fragilità del Monte Pisano mostrano che si tratta di un paesaggio terrazzato su cui si stratificano molteplici conoscenze: sociologiche, economiche, naturalistiche, agronomiche, formalizzate nel tempo da vari attori. Nel tempo è emersa con evidenza la centralità dell’implicazione attiva dei gestori reali degli oliveti per dare seguito efficace alle conoscenze teoriche. Il vero contributo alla tutela del paesaggio terrazzato - del Monte Pisano, così come di altre aree periurbane quali il biodistretto del Montalbano - risulta cioè dalla coniugazione di tecnica e pratica in una prospettiva di sistema socio-tecnico.
L’internet des objets connectés en agricultureDavide Rizzo
Un aperçu global présenté par la Chaire Agro-Machinisme et Nouvelles Technologies au 1er séminaire de la plate-forme régionale "agricultures du futur", organisé à Amiens le 05.02.2019 par la DRAAF Hauts-de-France. De l'internet-of-things (IoT) : pour quoi faire ? Une nouvelle frontière cyber-physique du capteur au cloud. L'exemple du bootcamp 2017, l'atelier intensif coordonné par AgriLab.
L’automation et la robotique interrogent le métier d’agriculteur. Des nouvell...Davide Rizzo
La ferme de demain : relever les enjeux réglementaires, économiques et agronomiques, grâce aux données, à la robotisation et à la diversification.
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Rendez-vous à Innov'Agri 2018, Outarville Jeudi 6 Sept 2018, allée centrale, 14h15 - 15h15, stand G38 pour cette table ronde animée par Benoit EGON
Ils participeront:
Éric Gauthrin, Directeur des métiers du conseil de CERFRANCE CNEIDF,
Eric Gelpe, Directeur Général de Groupama Paris Val de Loire,
Valérie LEROUX, Directeur Délégué d' UniLaSalle,
SALIMA TAIBI, Docteur HDR en modélisation statistiques, Responsable du Master of Science Agricultural Data Management & Decision Models, UniLaSalle,
et Davide Rizzo pour la #ChaireAMNT UniLaSalle,
et Alexandre TOLUB, Directeur de Péri-G,
Innovation dans les agroéquipements : au carrefour entre agriculteurs, indust...Davide Rizzo
Fort du constat de la proximité entre les équipementiers, les agriculteurs et en établissement d’enseignement supérieur, c’est une évidence de travailler sur les AENT à UniLasalle, d’autant plus que à niveau des collectivités territoriale (agglomération du Beauvaisis et région Hauts-de-France) il y a une volonté de travailler sur les innovations dans ce secteur et de l’afficher comme spécificité du territoire.
De part de la culture de UniLaSalle, l’approche prise dans le cadre de la Chaire Agro-Machinisme et Nouvelles Technologies est de travailler ensemble et par association dans les innovations, en prenant comme acteurs la communauté des constructeurs, des agriculteurs avec les étudiants et les enseignants. Le poster développe cette approche : venez découvrir nos activités.
Par exemple le projet FARMING KNOWLEDGE, dont le but est d'orienter l'innovation dans les agroéquipements selons les besoins des agriculteurs.
MInndAgrM - Maîtriser l’Innovation de l’Agro-Machinisme. Solution présentée au 1er forum du contrat d'objectifs "Champs d'Innovation" (Caen, 1 déc 2017).
Factors influencing farmers’ preferences about agricultural equipment supplyDavide Rizzo
Poster on early results of the ongoing research, presented at the 1st Axema - EuAgEng Conference: “Intensive and environmentally friendly agriculture:
an opportunity for innovation in machinery and systems”. Villepinte (Paris) Feb. 25, 2017
Mapping fragility hotspots of a Mediterranean terraced systemDavide Rizzo
Mapping the fragility hotspots of a Mediterranean terraced system: a landscape agronomy approach based on GIS multi-criteria analysis. Rizzo D, Gennai-Schott S, Sabbatini T, Bonari E | #ITLA2016
The current management of Mediterranean terraced landscapes rises questions that go beyond the agricultural dynamics. Numerous studies addressed so far the terraced landscape management, encompassing various geographic locations and several disciplinary or integrative approaches. Yet, the observable current dynamics suggest instead that the major challenge for terraced landscape conservation is to capitalize past knowledge to provide a reliable support for the new land managers. Indeed, terraced landscapes have sometimes shifted toward neo-rurality and periurbanity, and farming is pursued just as part-time or hobby activity. Whereas the abandonment of the entire farming system implies the basic problem to conserve both soil and landscape cultural features, new management styles may imply a partial farming abandonment (i.e., just of the terrace management). Altogether, this claims for new landscape strategies to preserve the character of these traditional systems. Accordingly, we carried out a landscape agronomy assessment to support the management of a terraced system. This article aims to discuss a spatially explicit method combining natural and anthropic landscape features related the expected terrace degradation dynamics (i.e., fragility). Of note, we targeted the formalization of local expert knowledge as fundamental complement to existing and available maps. The method is a GIS based multi-criteria analysis (MCA) designed and implemented on the Monte Pisano (62 km², Tuscany, ITA) as illustrative of Mediterranean terraced landscapes. Schematically a MCA method is composed by three cognitive processes: the characterization of the decision-making situation, the modeling of the preferences, and the formulation of final recommendations. In our case-study these were articulated in a 6-steps method drawn upon the structure proposed by Malczewski (1999, GIS and multicriteria decision analysis. Wiley). First there was the definition of decision problem (1), then divided into operational objectives and associated to a set of criteria (2). The GIS environment added the need to identify the relevant spatial scale (3). These bases supported the selection and the elaboration of attributes (4), then aggregated according to the preferences expressed by the decision maker(s) (5). In this way, the terraced landscape was delimited into a set of ranked spatial alternatives responding to the initial decision problem. Finally, the assessment of the result reliability with field validation allowed formulating the final recommendations (6). The main results were the maps of local terraced landscape structural and overall fragility, classed into four levels ranging from weak to strong, i.e. where intensive management is required to mitigate/avoid expected degradation.
Farmers manage large areas of landscapes that are altogether designed by heterogeneous actors. Conflicts may eventually arise in complex regions like the Mediterranean where the urban and agricultural actors’ spaces for action easily overlap and concur for the use and management of soil and water. A territorial or landscape perspective is therefore required to inform the design of land management systems capable to meet the place-based development goals. A greater involvement of agronomy in the landscape arena would help to design landscape management policies that are better informed of farming systems. Our aim is to present a territorial approach that supported a prospective analysis for the design of shared land management actions using the territory game.
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Oral communication presented at the 14th conference of the European Society for Agronomy, Edinburgh 5-9 September 2016: "Growing landscapes: cultivating innovative agricultural systems"
The document discusses the FREEWAT project, an open source modeling platform created to help simplify and improve the application of various European water directives. The project involves 19 partners across Europe and has conducted over 14 case studies and trained around 100 people. The goal of the FREEWAT platform is to provide a free and open source GIS-integrated modeling tool to support scientifically sound decision making for water resource management from small to large scales.
Agricoltura, risorse e paesaggio: come supportare il buon governo del territo...Davide Rizzo
Finalmente anche nel nostro Paese e, non senza una punta di orgoglio in Toscana in particolare, al centro del buon governo del territorio è stato messo il paesaggio. E’ stato infatti da noi approvato il Piano di Indirizzo Territoriale con valenza di Piano Paesaggistico e molti Comuni hanno già attivato, a dire il vero con impegno diverso, il proprio percorso per adeguare ad esso i propri strumenti urbanistici. C’è ora da definire cosa e come fare per conservare l’equilibrio della natura e in che maniera salvaguardare la memoria della nostra storia e delle nostre città. Questo implica di dover passare dalla logica del vincolo alla logica del piano e dunque non limitarsi ad un passivo controllo dei singoli beni o dei relativi progetti ma individuare, insieme alle eventuali prescrizioni, anche delle linee di indirizzo e degli obiettivi in chiave propositiva e gestionale. Questa presentazione per il convegno "Life 2020 - Il vecchio e il nuovo nel buon governo del territorio" introduce un punto di vista agronomico avvalendosi di approcci ed esempi italiani e internazionali.
NB *** la plupart des images sont cliquables pour accéder aux ressources ***
Les réseaux sociaux ont-ils quelques utilités pour les chercheurs ? C'est pour répondre à cette question que j'ai proposé à mes collègues de partager quelques astuces concernant la toile et la présence des scientifiques.
Même si on ne s'occupe pas de ça, sera la toile à s'occuper de nous, par exemple par des profils générés automatiquement ou via let tweets aux conférences. Il vaut mieux s'approprier des bases pour pouvoir orienter et exploiter ce moyen de communication.
Opportunities for scaling up research on agricultural dynamicsDavide Rizzo
>> PAPER http://bit.ly/FSD5_Rizzo_abstract <<
Use of crop sequences for data-mining of remotely sensed time series across multiple scales.
Several interdisciplinary perspectives (e.g., landscape agronomy, land system science, ecoagriculture) urge agronomy to contextualize the characterization of agricultural activities within the land management system. This challenges the discipline to scale up the analysis of agricultural dynamics from farm to landscape levels, where conflicting choices may emerge about the management of natural resources. Shortcoming of data covering large areas, especially about farming practices and decision-making processes, is a major constraint. Nevertheless, we consider that segmenting the land according to the observed land cover sequences can eventually incorporate a relevant part of the farmers' medium-term decision-making processes, influenced for instance by climate changes or territorial conflicts related to local resources. Furthermore, focusing on land cover sequences may provide a consistent target of analysis across multiple scales. Our aim is to discuss the relevance of a data-mining method to handle remotely sensed data and analyze temporal and spatial agricultural dynamics in a landscape perspective. The method, originally developed to handle large and labor-demanding survey datasets, is based on the stochastic segmentation with Hidden Markov Models. It firstly identifies temporal regularities of the crop/grassland sequences, then use them to segment into homogeneous patches the study area (potentially ranging from farmland to region). Starting from a case study carried out on a 12-year time series of satellite images for the Yar watershed (Brittany, France) we address the potential contribution of this kind of approach to improve the dynamic analysis of farming systems. [...]
>> More info at http://bit.ly/FSD5_Rizzo_abstract
L’analisi agronomico-territoriale nella stima della fragilità agro-ambientale...Davide Rizzo
Riferirsi all’agronomia aggettivandola come “territoriale” intende confrontarsi con la sfida posta alla disciplina a sviluppare metodologie e conoscenze capaci di integrare le dinamiche della produzione con i processi decisionali derivanti dall’interazione di e con attori agricoli ed extra-agricoli. Un orientamento preciso è dato in tal senso dal crescente interesse dell’opinione pubblica alla tutela dei paesaggi agroforestali. Il focus di questo lavoro è stata la caratterizzazione delle “FRAGILITÀ” di un paesaggio, intesa come zonazione di un paesaggio agrario in funzione delle priorità di intervento per la conservazione.
Il metodo di stima della fragilità è stato definito tenendo conto dei tre elementi principali di un paesaggio agrario – struttura, attori e gestione – e dei metodi elaborati per valutazioni di problematiche parziali e specifiche dei sistemi terrazzati. Esso è stato sviluppato come ANALISI MULTICRITERIALE TERRITORIALE (AMT) strutturata in cinque fasi: (1) la definizione dell’obiettivo decisionale; (2) la scelta della scala spaziale di riferimento; (3) la selezione e l’elaborazione dei parametri di input; (4) la scelta e l’applicazione della “regola decisionale”; (5) l’analisi dei risultati e la valutazione della loro accuratezza. Ciascun parametro è stato valutato secondo un “INDICE DI FRAGILITÀ” che stima la distanza del valore di un dato parametro dallo stato funzionale ottimale.
La metodologia ha mostrato una pronta applicabilità e una buona affidabilità per un inquadramento fenomeno della fragilità a scala di sistema. Dal confronto con altre, rare, esperienze di caratterizzazione territoriale di sistemi terrazzati appare una sostanziale convergenza sulla scelta dei parametri.
In una prospettiva generale, il lavoro svolto apporta un contributo teorico dell’agronomia allo studio dell’evoluzione dei paesaggi agrari, con particolare riferimento alla valutazione degli effetti dei cambiamenti nelle pratiche (agricole), quale ad esempio l’abbandono. Si consideri, in conclusione che questa metodologia, sviluppata e testata per la caratterizzazione della fragilità dei sistemi terrazzati, potrebbe essere estesa sia per rispondere ad altre problematiche agro-ambientali sia per l’analisi di altri sistemi territoriali.
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ENGLISH SUMMARY --> http://bit.ly/15Ek6Sr
Background concepts of landscape and territory agronomyDavide Rizzo
Agriculture faces big challenges, such as feeding a growing population and providing an increasing panel of ecosystem services. However, concurrent changes either of the land use (e.g., urban sprawl), of the land system structure (e.g., innovative crop-livestock integration) or of the production practices (e.g., the agroecology transition of production systems) occur unevenly in space and over time. Yet, land is a limited resource and agricultural seems to have attained the peak for major productions. Hence, neither the expansion nor the intensification of current production systems could answer the expectations, also because of the deprecated trade-offs on natural resources. Altogether, the development of smarter spatial configurations of agricultural activities appears to be the most effective way to address all of these rapid and wide dynamics. Accordingly, agronomy is urged to develop a landscape perspective to improve the understanding of farming evolutions and to inform future scenarios. In this lecture, we will describe the conceptual model proposed by “landscape agronomy” and how it can help to understand interactions between farming practices, landscape patterns and natural resources. In addition, we will compare it with the “territory” concept underpinning a participatory action science that addresses the relations between different land users and managers in the design of future rural land systems. Finally, we will apply the aforementioned concepts to the comparison of some land management units to stress the role of a landscape-oriented approach to farming system design.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
The cost of acquiring information by natural selection
Trends in Agricultural Robots. A Comparative Agronomic Grid Based on a French Overview
1. Trends in
Agricultural Robots
Davide RIZZO A.HAMEZ F.HENDRYCKS B.VASSEUR B.DETOT A.COMBAUD
@pievarino
#ChaireAMNT
A Comparative Agronomic Grid Based on a French Overview
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
3. Institut Polytechnique UniLaSalle
A private higher education institute
2800 students
3 integrated degree
programs in Food &
Health, Geology &
Environment,
Agronomy and other
Bachelor and Master
degree programs
4 Academic and
Industrial Chairs
4 research groups
and several facilities member of the Lasallian education network
3 campuses in northern France:
Beauvais, Rouen, Rennes
3
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
5. Agricultural Equipment & New Technologies
5
3 years of Bachelor level
Fundamental and applied knowledge:
background in agricultural sciences.
2 years of Master level
Professionalization: applied programs in
agriculture, agronomy and the food industry.
www.unilasalle.fr
The course of study in agronomy backed by the Chair
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
In 2016 the Chair started a new
specialization in agricultural equipment
and new technologies (AENT)
1st AENT graduation was composed by
5 students and sons of farmers with a
solid background in farming.
7. 7
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
| A very busy farmer Jean-Marc Côté, 1900
1900’s postcard from a series of futuristic pictures by Jean-Marc Côté came to light after Isaac Asimov (1986) in “Futuredays: A
Nineteenth Century Vision of the Year 2000”. https://publicdomainreview.org/collections/france-in-the-year-2000-1899-1910/
9. The EU innovation perspective
9
Precision
agriculture is
the only farming
related
innovation that
Europe listed
among the
technologies
which could
change our
lives.
Kurrer C, Tarlton J (eds)
(2017) Ten more
technologies which
could change our lives:
in-depth analysis
http://bit.ly/Kurrer_2017
Van Woensel L, Archer G
(2015) Ten technologies
which could change our
lives: potential impacts
and policy implications.
European Commission,
Brussels
http://bit.ly/2vF5HKp
Autonomous Vehicles
Graphene
3D printing
Massive Open Online Courses
Virtual currencies (Bitcoin)
Wearable technologies
Drones
Aquaponic systems
Smart home technologies
Electricity storage (hydrogen)
Electric cars
Intelligent urban transport systems
Magnetic levitation-based transport
Wood
Precision agriculture
Quantum technologies
Radio frequency identification tags
Big data and health care
Organoids
Genome editing
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
11. The French challenges
11
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Bournigal J-M (2014)
Définir ensemble le futur du
secteur des
agroéquipements
http://bit.ly/Bournigal_2014
Bournigal J-M, Houiller F,
Lecouvey P, Pringuet P
(2015) Agriculture –
Innovations 2025 : 30
projets pour une agriculture
compétitive & respectueuse
de l’environnement.
MinAgri, Paris (FRA)
http://bit.ly/Bournigal_2015
https://www.fira-agtech.com
A national accelerator
program to intensify the
conception, validation, and
dissemination of tomorrow’s
robots for agriculture
FIRA's an annual forum that
aims to create a community
that brings change through
agricultural innovation.
http://bit.ly/2wdytBc
Preparing tomorrow’s
agriculture implies
developing co-design,
agricultural robotics
and digital agriculture
Robotics is expected
to involve precise,
effective and safe
equipment through
research, system
innovation and tests
13. Boosting farms automation
13
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
https://4d4f.eu/http://www.handsfreehectare.com
https://www.agreenculture.net/challenge-centeol-2018
http://bit.ly/2PgceU1
Network of
8 agtech
innovative
farms
http://bit.ly/2KXx0od
14. AgTech for precision agriculture
14
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Automatic machines
collecting and
managing data,
(feeding big-data)
new tools for fine-
tuning farmers’
decision making and
to master the
environmental footprint
of agriculture.
Amid the different
technologies
enabling a greater
precision of
agriculture,
robotics and
sensors could
radically change
the way of farming.
20. What is a “robot”?
COIFFET P (2007) Robots industriels:
concepts, définitions et classifications.
Ed. Techniques Ingénieur
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
20
https://en.wikipedia.org/wiki/R.U.R.#/media/File:Capek_RUR.jpg
A scene from “Rossum's Universal Robots“ by Čapek
that first popularized the term “robot”
A concept originated in the
sci-fi literature upon a
real artificial human,
characterized mainly by a
human-like intelligence
including will and
conscience.
The scientific concept
explores instead
machines to assist
humans for the execution
of physical tasks either by
cooperation or substitution
21. Step 1: entry criteria
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
21
The scientific concept of
robot implies
■ a machine capable to
execute a physical task
AND at least:
■ being versatile
(capable to execute
different tasks)
AND/OR
■ auto-adaptive to the
working environment
COIFFET P (2007) Robots industriels: concepts,
définitions et classifications. Ed. Techniques Ingénieur
22. Step 2: type of interaction
Assistant robots
collaborating with humans
to realize a physical task
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
22
The machines fulfilling the scientific robot definition, so
included in the database, were further classified in:
Decision robots
that support human
decision-making
Substitution robots
that replace humans to
realizate a physical task
Ladybird by the University of Sydney
http://bit.ly/2MVfHpy
Effibot, CC-BY-SA-4.0 Scailyna, 2016
https://commons.wikimedia.org/wiki/File:Inn
orobo_2015_-_Effidence_-_Effi-bot_02.jpg
DINO weeding robot by Naïo Technologies,
CC-BY 4.0 D. Rizzo, 2017
23. Step 3: domain of application
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
23
Field crops
Horticulture
Permanent crops,
fruit groves and vineyards
Other,
such as turf mowers
Dairy cattle
Poultry
Pig
Other cattle
breeding (beef)
Robots for CROPS Robots for ANIMALS
Iconsfromhttps://icons8.com/icon/set/world/ios
24. Sources
1er Forum International
de la Robotique Agricole
(FIRA, Nov. 2016)
8 exhibitors,
~ 200 participants
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
24
More than 300 websites
https://www.slideshare.net/ByMaddyness/maddyinsi
ghts-la-transformation-numrique-dans-le-tourisme
[MaddyInsights] 50 Startups et
Innovations dans l'Agro-Alimentaire
7 agricultural magazines
(e.g., France Agricole)
Technical specifications
issued from the robot
datasheets
Icons from https://icons8.com/icon/set/world/ios
26. The database interface /1
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
26
27. The database interface /2
Up to 80
descriptive fields
for each entry
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
27
28. Database structure
28
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Created with MS Access® 2013
80 tables detailing the various
features of each machine and of
the producers.
A. Master table listing the robots
B. Robot features: domain (crops
or animals), dimensions, way of
moving, energy source, etc.
C. Primary functions (see after)
D. Producer’s profile
E. Control mode and security
features
96 robots
documented in 4 months
(October 2016 to January 2017)
A
C
B
D E
29. Step 1: criteria defining “robot”
29
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Field crops A
Horticulture B
Permanent C
Other D
Dairy cattle A
Cattle breed. B
Poultry C
Pig D
A
B
C
D
Both additional criteria were met mainly by crop robots
Auto-adaptivity is associated to field crop robots
Versatily is an additional criterion for the robots for cattle
crop
Both Versatility Adaptivity
Both Versatility
Robot is an
autonomous
machine
versatile
and/or auto-
adaptive
Coiffet 2007
N = 96 55
22
19
animal
A
B
C
D
A
B
C
D
A
B
C
D
A
B
C
D
30. Step 2: type of interaction /1
30
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
111
4 21
21
2
1
1
2
2
1
1420 4
1
8
8
Assistance (3)
Substitution (58)Decision (23)
Field crops (33)
Horticulture (13)
Permanent (6)
Other (4)
Dairy cattle (21)
Poultry (3)
Pig (1)
Cattle (15)
1
Crops (56)
D-S (5)
A-S
(6)
N = 96
Animal (40)
Iconsfromhttps://icons8.com/icon/set/world/ios
(number of robots)
31. Step 2: type of interaction /2
31
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Crops: evenly
distributed, yet more
abundant for decision
and hybrid
Animals: 37 out of 40
substitution robots
(34 for cattle breed)
Assistance: quite
limited, mostly as
hybrid with substitution
Substitution robots
are prevalent: 58 (+12
hybrids) out of 96
Icons from https://icons8.com/icon/set/world/ios
32. 3
4
6
4
8
7
2
4
3
7
2
4
6
3
4 4
8
1991 1995 1999 2003 2007 2011 2015
Step 3: domain of application
project
Crops
Animals
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
32
N = 93
Year missing
for 3 robots
“Agricultural Robots” by
Tractica reported 149 profiles
over a comparable time period.
58% 42%
Crop Animal
3412
4
15 21
13
N= 56 N= 40
6
R-Max, Yamaha
https://www.yamaha-motor.com.au/products/sky/aerial-systems/rmax
Astronaut 4, Lely
https://www.lely.com/ie/news/2014/06/23/44-lely-astronaut-milking-
robots-manage-dairy-farm/
96 robots
33. 5
18
24
7
9
21
3
9
Load transportation
Sensor carrier
Field works
Milking
Stable cleaning
Feed management
Assistance
Data collection
Functions per domain
33
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Several robots for crop
management realise
different field works (from
weeding to harvest)
Multiple solutions for
animal management
robots are for available for
feed pushing or
distribution
Other robots are emerging
for autonomous data
management (assistance)
and collection
N = 96
CROPANIMALBOTH
35. From education to innovation
35
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
Final goal: to ease the mastery of
technologies that are currently and
for the most exogenous to the
agricultural sector.
The insights gained by designing
and developing the database were
propedeutic to build a weeding robot
Cf. Rizzo D et al (2018) A robot from the scratch
in 5 months. How agronomy students could
master agricultural machinery innovation. In:
Farming systems: facing uncertainties and
enhancing opportunities. Chania, GRC, p 11
http://www.ifsa2018.gr/uploads/attachments/52/Theme1_Rizzo.pdf
https://youtu.be/BI4xdYHfF-g
37. Take-home message
«Do I think todays’
farmers need a robot?
I think today’s robots
need a farmer!»
Identifying landmarks in the
high pace robot landscape
will enhance the agronomic
evaluation and enable a
clearer understanding of
robot relevance for
farmers.
Rod Karter
Cattle farmer, Australia February 2018
ABC Catalyst 2018, Farmer Needs A Robot
http://www.abc.net.au/catalyst/stories/4792106.htm
https://youtu.be/oxpZ1c7TsPI
Trends in Agricultural Robots ● RIZZO et al. 2018
Parallel Session 7.3 Productivity and Efficiency – abstract PS-7.3-05
37