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Power of Local August Webinar: Nigeria Flying Labs

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In the August 2020 Power of Local webinar, Nigeria Flying Labs provides programmatic updates.

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Power of Local August Webinar: Nigeria Flying Labs

  1. 1. The Power of Local Building aid, health, development and environmental solutions by sustainably localizing robotics technologies WEBINAR Building Sustainable Smart Farming Ecosystems-Path to Socio Economic Development in Nigeria.
  2. 2. Adewale Adegoke MD
  3. 3. INTRODUCTION This webinar is divided into five sections- 1. About Flying Labs Nigeria Southwest Hub 2. Drones in agriculture 3. Implementing drones for agriculture 4. Case Studies The Power of Local
  5. 5. About Flying Labs Nigeria Southwest Hub The Power of Local We are a drone data innovation hub that identifies and builds local skills in digital entrepreneurship in order to facilitate youth employment and increase the socio-economic impact of youth and professionals. We incubate innovative drone and data ideas that transform lives, especially in the agricultural sector to achieve key SDGs.
  6. 6. The Power of Local Services Building local skills in Drone Technology
  7. 7. The Power of Local Other services Tree counting Using Artificial Intelligence Crop condition detection
  8. 8. DRONES IN AGRICULTURE The Power of Local
  9. 9. Drones in Agriculture Implementing drones for agriculture presents a new opportunity in data collection for agriculture due to the unique nature of crops and the dynamics of crop production.Contrary to the operations of regular survey drones, the drones for agriculture use multispectral sensors to detect the field variability in crop production by measuring the variable reflectance values along the Near Infrared and Red bands of the electro magnetic spectrum. Parrot Bluegrass Professional Multispectral drone
  10. 10. Types of Drones in Agriculture Parrot Bluegrass Professional Multispectral drone Joyance crop spraying drone
  11. 11. The Power of Local Drones collect raw data and translate it with algorithms into useful information. Therefore, they can be used for various applications in farming, such as the monitoring of the following parameters; 1. Crop health-damage caused by pests, color change due to pest infection. 2. Vegetation indices- leaf area, anomaly detection, treatment efficacy, phenology, yield 3. Crop Spraying 4. Plant scouting- plant size, plot statistics, stand number, compromised plots, planter skips 5. Water needs- water-stressed parts of the field/orchard in need of watering 6. Soil analysis-nutrient availability for plant nutrient management Role of Drone Technology in Agriculture
  12. 12. The Power of Local Vegetation absorbs and reflects solar radiation in different bands. The percentage of refracted radiation in specific bands, such as near infrared (NIR), red (RED), and short-wave infrared (SWIR), varies with plant health and water stress . The most used vegetation index is the NDVI (Normalized Difference Vegetation Index) which describes the vigour level of a crop.NDVI is highly informative, as it allows the immediate recognition of the areas of the farm or field that have problems.
  14. 14. The Power of Local Approach to Implementation Drone for agriculture is part of a technology process in farm optmisation. Flying Labs Nigeria Southwest Hub as adopted the approach of setting up a smart farming advisory and technical center as a means of building capacity of youth in smart farming, localization of drone technology especially in small holder agriculture and farm optimization.
  15. 15. The Power of Local Approach to Implementation Flying Labs Nigeria Southwest unbundles the concept of agriculture into manageable parts to understand the need for drones in agriculture.
  16. 16. Smart Farming Advisory and Technical Center The smart farming advisory and technical center is a one stop shop for all drone and smart farming related services. Smart Farming Capacity building GAP Drone flight Data processing Data science AI Extension services GAP Crop health monitoring Pest Monitoring Feedback Data processing Processing of multispectral images Interpretation of multispectral images Agronomy services Advisory based on output of extension services R&D
  17. 17. Localization In localizing the application of drones in agriculture ,youth are trained on mapping, drone piloting and data interpretation. This essential to build the skill set of local youth in digital agropreneurship, while creating job opportunities for the youth as e-extension personnel. Secondly ,Flying Labs Nigeria Southwest Hub, works closely with farmer cooperatives and association to ensure that there is uptake of the drone technology for the farmers.
  18. 18. CASE STUDY The Power of Local
  19. 19. The Power of Local Case Study-Cotton Farmers Flying Labs Nigeria Southwest Hub has partnered with Agroxchange Technology Service to provide crop monitoring, farmer profiling, capacity building and drone crop spraying services to the Kogi State chapter of the National Association of Cotton farmers(NACOTAN). The key objective of the engagement is to create a structured geospatial database of cotton farmers, apply drone technology and remote sensing to monitor the health of the captured cotton farms in order to achieve optimal yields, ensure compliance with Good Agronomy Practices and increase the capacity of the cotton farmers to pay back loans and meet market standards. The approach is highlighted below Capacity building of local youth in mapping Creation of geospatial database of cotton farmers Drone spraying and mapping
  20. 20. The Power of Local Case Study 1
  21. 21. The Power of Local Flying Labs Nigeria Southwest Hub as implemented ESRI survey 123 and ArcGIS online to implement a continuous data collection and update mechanism whereby trained local youth collect the data on cotton farmers and send the data in real time and offline modes to a central database. The ArcGIS online provides an interactive method of presenting and viewing the data collected by NACOTAN management. This approach provides an opportunity to integrate mapping and drone technology with both the cotton farmers and NACOTAN workflow. The farmer boundary measurements allow for precise setting of flight plan over a farm during the drone application stage.