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Farmer-oriented innovation: outcomes from a first bootcamp

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Suggested citation: Dantan J, Rizzo D, Fourati F, Dubois M, Jaber M (2018) Farmer-oriented innovation: outcomes from a first bootcamp. 3rd Abbé Grégoire Innovation Days, April 3rd Paris.
+ + + + + + + We have explored the construction of solutions around farmers' questions about the culture of knowledge sharing (Open Source & Open Hardware Initiatives). To tackle such challenges, UniLaSalle has almost finished building the AgriLab® platform. AgriLab® is a “new generation” laboratory which is, among others, a rapid prototyping platform in digital technologies (robotics, collaboration platforms, big data processing and decision support tools) and in agro-equipment. Dedicated to open innovation, this platform promotes the culture of knowledge sharing. It is part of the worldwide movement of free knowledge exchange for a more sustainable agriculture.
Following, we will present and discuss the major outcomes from a first Bootcamp, as an example of a farmer-oriented event designed upon the open-source IoT in smart farming.

Publicado en: Tecnología
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Farmer-oriented innovation: outcomes from a first bootcamp

  1. 1. Farmer-oriented innovation: outcomes from a first bootcamp Jérôme DANTAN, Davide RIZZO, Fatma FOURATI, Michel DUBOIS, Mehdi JABER Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 1
  2. 2. Farmer-oriented innovation: outcomes from a first bootcamp Jérôme DANTAN, Davide RIZZO, Fatma FOURATI, Michel DUBOIS, Mehdi JABER Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 2 Corresponding author Presenting today Information Technologies Agronomy, data science Management science Agricultural sciences expert Digital innovation An interdisciplinary team @pievarino
  3. 3. UniLaSalle About us Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 3
  4. 4. Institut Polytechnique UniLaSalle Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 4 A private higher education establishment 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
  5. 5. About us Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 5 Interdisciplinary research group working on organizational innovation Academic research and education team adressing the innovation of agricultural equipments and technology Collaborative innovation centre for agriculture based in Beauvais (northern France) © Davide Rizzo, 2018 CC BY-NC-SA
  6. 6. Background & challenges 1 – Introduction 2 – Organization & main outcomes 3 – Take-home message Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al.
  7. 7. Precision agriculture Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. Technologies are allowing agriculture to be more precise and smart. The development of precision agriculture and its support, the digitalization of agriculture, is leading to the emergence of many new approaches that combine agronomic knowledge and agricultural know-how with computer skills. 7 ©PETROSS,TERRA-MEPP&WEST,CC-BYhttps://flic.kr/p/XavvBA
  8. 8. Farm technology Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 8 Important subset of the agrifood tech landscape, often referred to as ‘agtech.’ Cosgrove E, Leclerc R, Burwood-Taylor L, Chauhan R (2018) AgFunder Agrifood Tech Investing Report 2017. AgFunder Farm Robotics, Mechanization & Equipment. On-farm machinery, automation, drone manufacturers, grow equipment Farm Management Software, Sensing & IoT. Ag data capturing devices, decision support software, big data analytics Novel Farming Systems, Ag Biotechnology, Agribusiness Marketplaces, Bioenergy & Biomaterials, Farm-to-Consumer eGrocery, etc.
  9. 9. Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 9©NestaCCBY-NC-SAhttps://www.nesta.org.uk/sites/default/files/future_farms_infographic_precision_agriculture.jpg
  10. 10. Breakthrough changes Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 10 AgTech and precision farming require farmers to expand their knowledge to be able to master recent farming innovations. https://ec.europa.eu/info/news/future-cap-whats-cooking-next-cap_en “ The future Common Agricultural Policy will be much more focused on encouraging innovation (for example through identifying where there is a common need that technology might be able to meet) and on helping especially small and medium-sized farms to join the digital farming revolution.” © xaviergp CC BY-NC https://flic.kr/p/EYLGYj
  11. 11. Bootcamp 1 – Introduction 2 – Organization & main outcomes 3 – Take-home message Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al.
  12. 12. AgriLab® open innovation platform Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 12 The local territorial institutions have invested in the building of AgriLab® to boost the sustainable and open innovation of the AgTech sector in the Hauts-de-France region © AgriLab
  13. 13. Some references for AgriLab® Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 13 Do It Yourself: behaviors where "individuals engage raw and semi-raw materials and component parts to produce, transform, or reconstruct material possessions”1 FabLab: outreach project from MIT's Center for Bits and Atoms (CBA), and became into a collaborative and global network of 1100 Fabrication Laboratories Open Source Ecology: developing a set of open source blueprints for the Global Village Construction Set². Inspiring source for the French Atelier Paysan 1 Wikipedia contributors, "Do it yourself," Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/w/index.php?title=Do_it_yourself&oldid=831737917(accessed 1/4/18). ² https://www.opensourceecology.org/about-overview/ InforgraphicbyJBVervaeck,CCBY-SA©AtelierPaysan,CCBY-NC-SA
  14. 14. BootCamp goals and figures Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 14 Enabling farmers and students in agronomy to innovate by themselves by using and mastering the latest cheap and open source technologies Arduino, Raspberry Pi, Grove sensors, LoraNetwork, 3D printing, etc. 4 farmers, 39 engineering students in agronomy, 10 animators and experts, and several observers © Davide Rizzo, 2018 CC BY-NC-SA 2.5 days & >1000h of co-working
  15. 15. Bootcamp overview Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 15 http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming o Agricultural data: an answer to what question? (D. Rizzo) o Farm Open-source DIY Internet of Things (M. Jaber) o Developing affordable open-source IoT (C.Pham) o IoT connectivity examples with Wolfram Mathematica, Arduino & Raspberry (P. Fonseca) o Data science et Human- machine interface with Wolfram tools (D. Birraux) Step 1 Step 2 morning Step 3 afternoon Step 4 morning Step 5 afternoon Step 6 14-16:30 pm Introductory conferences 17-18:30 pm Farmer-oriented teams DAY#1DAY#2DAY#3 designing: defining variables to be monitored and expected DSS interface learning: electronic components, packaging, Arduino connectivity and HMI, early prototypes assembling the concept prototypes wrap-up and perspectives
  16. 16. Open innovation approach Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 16 Boosted by the Hauts-de-France Social and Digital Innovation regional program INS’Pir http://www.hautsdefrance.fr/inspir/ Everything documented in a free and open knowledge base shared under Creative Commons licence: http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  17. 17. Common project outline Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 17 Physical variable(s) Sensor(s) Arduino & electronics Network (cloud) Database HMI, machine learning, data vizualization Icons by Icons8 https://icons8.com From the farm and field issues to the farmer’s decision making Prototyping activity
  18. 18. 4 farmer-oriented projects Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 18 Decisio Soil moisture monitoring to: o manage flax sowing o identify potatoes harvesting time iPatate o Potato stocks quality monitoring o Remote management of agricultural activities SiloTeam o Remaining quantity of food in poultry food storage silos monitoring o Comparative display of the filling of silos VegData o Early rot detecting in salads o Network farms data sensors in the same region to achieve large data collection to feed artificial intelligence system http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  19. 19. Decisio Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 19 Field Protective housing Arduino Lora network module Smartphone Sensor Battery Issue Specifications Implementation Physical data Output Soil moisture monitoring to manage: o flax sowing o potatoes vegetation Soil moisture and temperature, moisture and air temperature, foliar development and rainfall o Flax: knowing the best period for sowing. o Potatoes: predicting the stoppage of vegetation growth and thus the harvest o Soil temperature and moisture sensors, measured every 15 minutes o Data storing in a cloud database o HMI/Data visualization o Alerts/warning SMS o Web access Decisio sensor-to-OAD package http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  20. 20. iPatate Issue Specifications Implementation Physical data Output Potato stocks quality monitoring Temperature, CO2, humidity and phyto- hormones Intervention of the operator o Retrieve and sort data o Data analyses to send alerts Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 20 Final version of the installation of sensors and transmitters / receivers within the storage building http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  21. 21. Vegdata Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 21 Issue Specifications Implementation Physical data Output Early rot detecting in salads Temperature of both air and soil and humidity of both air and soil Raising soil moisture to warn the farmer when the moisture reaches a threshold that requires irrigation o Protection for sensors o 3 temperature and Humidity sensors (atmosphere and soil) o HMI/data visualization Location of sensors on the salad and underground http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  22. 22. SiloTeam Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 22 Issue Specifications Implementation Physical data Output Monitoring and quantifying the poultry food remaining in storage silos Height of food remaining in the silo Exact tonnage of food remaining in the silos o Algorithm calculating the filling rate of the silo, as well as a comparative display of the filling of every silos of the farm o HMI/data visualization Comparative display of the filling of silos http://agrilab.unilasalle.fr/projets/projects/open-iot-in-smartfarming
  23. 23. Conclusions 1 – Introduction 2 – Organization & main outcomes 3 – Take-home message Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al.
  24. 24. Opportunities & perspectives Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 24 Future challenges: prototype Lora network nodes and gateways, deploy Open TimeSeries database platform, putting all together the four sensor projects in the farms o agronomy: enable farmers to better monitor the environment, thus to facilitate the implementation of precision farming o economy: provide added value for farmers, new business models, startups o technology: develop predictive analyses, which will require bigger data sets
  25. 25. Take home message Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 25 Open innovative farmer-oriented model can benefit from the involvement of students and experts in agronomy and in digitalization technologies. This approach to innovation leads to a large range of new business models, among which the creation of a start-up becomes just one of the multiple possibilities through which the involved actors can create new activities. © Davide Rizzo, 2018 CC BY-NC-SA
  26. 26. Thank you! Any question? Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 26 The Authors acknowledge the fundamental work done by the farmers & students who participated to the 1st Agrilab® bootcamp. © AgriLab, 2017 Name.surname[at]unilasalle.fr @pievarinowww.unilasalle.fr
  27. 27. Farmer-oriented innovation: outcomes from a first bootcamp ● Dantan et al. 27 Acknowledgements. The Authors acknowledge the fundamental work done by the farmers and students who participated to the first Agrilab bootcamp. We wish to thanks Bernard De Franssu - AgriLab® co-manager and director of the Sustainable Development Department at UniLaSalle, Narges Bahi-Jaber - associate professor at UniLaSalle, Nathalie Schnuriger - associate professor at UniLaSalle, Carolina Ugarte - associate professor at UniLaSalle, Pedro Fonseca (SUEZ) and Dorian Birraux (Wolfram inc.) for their contribution to the design and realization of the first bootcamp. This work has been supported by Chaire Agro-Machinisme et Nouvelles Technologies, backed by UniLaSalle with the financial support from the Michelin Corporate Fundation, AGCO Massey-Ferguson, the Hauts-de-France Regional Council and the European Regional Development Fund (ERDF). Suggested citation: Dantan J, Rizzo D, Fourati F, Dubois M, Jaber M (2018) Farmer-oriented innovation: outcomes from a first bootcamp. 3rd Abbé Grégoire Innovation Days, March 3rd Paris. Copyright: © 2018 Dantan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY-NS-SA 4.0 that permits free use, distribution, and reproduction in any medium, provided the original author and source are credited. The use shall not be for commercial purposes and any derivate must keep the same license as the original. https://creativecommons.org/licenses/by-nc-sa/4.0/ Source Availability Statement: the public bootcamp documentation of the is available on the AgriLab® collaborative platform, accessible at : http://agrilab.unilasalle.fr/projets/projects/open- iot-in-smartfarming Design and layout: Davide Rizzo, April 3 2018

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