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Challenge No 6:
Drones utilisation for crop
protection storage capacity
Introduction
Problem:
● Good health and nutritional
condition of crops – missing
automated decision support
system
Challenges:
● To create automated decision-support
system that will:
 measured and collected data for the
purpose of the precise application
of chemicals and water
 Provide the information on the
precise localization for the
application
Methodology
Team:
● Zuzana Palkova & Miroslav Konecny - coordination of the challenge,
stakeholder engagement and communication with participants
● Roman Danel – database and data processing
● Michal Repka - image processing, NDVI, EVI
● Tomas Penaz – GIS
Technologies that are likely to be used:
● NDVI and EVI
● Image analyses
Methodology
Data & Equipment list
● LPIS data
● Weather data
● Data from satellites like Sentinel-2, Landsat and SPOT, which produce red and
near infrared images.
● Data from drones
● Training data set for classification algorithms and/or real data from fields with
the disease/bugs
Experimental results
● to develop sensing methodology,
● to propose a hardware and software solution being able:
○ to determine the coordinates of each region together with its geometrical
dimensions
○ to provide accurate information in the form of maps of areas with insufficient
moisture, weeds, pests and diseases, or areas with low nutrient concentrations
Conclusion
● several questions arose from the discussions
○ Are the NDVI and EVI methods optimal or building reference images databases of
different health conditions of plants will be necessary?
○ Is there a real interest of farmers to use drones for the health and nutritional
condition of crops diagnosis, considering the limitations for using drones?
○ What will be the business model for further exploitation of developed applications?
Conclusion
● The main points for the next INSPIRE Hackathon include:
○ more precise specifications of the farmers' needs
○ possibilities for plants' image database development
○ clarification of the business potential of drones utilization in agriculture practice
Thank you for your
attention!
Zuzana Palkova
Communication leader of the
Challenge No.6
Slovak University of Agriculture in Nitra
Zuzana.Palkova@uniag.sk

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Agrihub INSPIRE Hackathon 2021: Challenge #6 Drones Utilization for Crop Protection

  • 1. Challenge No 6: Drones utilisation for crop protection storage capacity
  • 2. Introduction Problem: ● Good health and nutritional condition of crops – missing automated decision support system Challenges: ● To create automated decision-support system that will:  measured and collected data for the purpose of the precise application of chemicals and water  Provide the information on the precise localization for the application
  • 3. Methodology Team: ● Zuzana Palkova & Miroslav Konecny - coordination of the challenge, stakeholder engagement and communication with participants ● Roman Danel – database and data processing ● Michal Repka - image processing, NDVI, EVI ● Tomas Penaz – GIS Technologies that are likely to be used: ● NDVI and EVI ● Image analyses
  • 4. Methodology Data & Equipment list ● LPIS data ● Weather data ● Data from satellites like Sentinel-2, Landsat and SPOT, which produce red and near infrared images. ● Data from drones ● Training data set for classification algorithms and/or real data from fields with the disease/bugs
  • 5. Experimental results ● to develop sensing methodology, ● to propose a hardware and software solution being able: ○ to determine the coordinates of each region together with its geometrical dimensions ○ to provide accurate information in the form of maps of areas with insufficient moisture, weeds, pests and diseases, or areas with low nutrient concentrations
  • 6. Conclusion ● several questions arose from the discussions ○ Are the NDVI and EVI methods optimal or building reference images databases of different health conditions of plants will be necessary? ○ Is there a real interest of farmers to use drones for the health and nutritional condition of crops diagnosis, considering the limitations for using drones? ○ What will be the business model for further exploitation of developed applications?
  • 7. Conclusion ● The main points for the next INSPIRE Hackathon include: ○ more precise specifications of the farmers' needs ○ possibilities for plants' image database development ○ clarification of the business potential of drones utilization in agriculture practice
  • 8. Thank you for your attention! Zuzana Palkova Communication leader of the Challenge No.6 Slovak University of Agriculture in Nitra Zuzana.Palkova@uniag.sk