SlideShare a Scribd company logo
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

More Related Content

What's hot

Technology Assessments Overview
Technology Assessments OverviewTechnology Assessments Overview
Technology Assessments Overview
Hillary Hanson
 
Gire ppt iscram2015 15 05-2015
Gire ppt iscram2015 15 05-2015Gire ppt iscram2015 15 05-2015
Gire ppt iscram2015 15 05-2015
ISCRAM 2015
 
Measuring the impact of the RDP - Paul Keating
Measuring the impact of the RDP - Paul KeatingMeasuring the impact of the RDP - Paul Keating
Measuring the impact of the RDP - Paul Keating
Ireland's National Rural Network
 
Measuring the Impact of the RDP - Bernd Schuh
Measuring the Impact of the RDP - Bernd SchuhMeasuring the Impact of the RDP - Bernd Schuh
Measuring the Impact of the RDP - Bernd Schuh
Ireland's National Rural Network
 
Opportunities for impact evaluation in the NAP process
Opportunities for impact evaluation in the NAP processOpportunities for impact evaluation in the NAP process
Opportunities for impact evaluation in the NAP process
FAO
 
Food and nutrition security in 2050 some lessons from the foodsecure project
Food and nutrition security in 2050 some lessons from the foodsecure projectFood and nutrition security in 2050 some lessons from the foodsecure project
Food and nutrition security in 2050 some lessons from the foodsecure project
International Food Policy Research Institute (IFPRI)
 
Portfolio
PortfolioPortfolio
Summary of monitoring and evaluation data requirements for Africa RISING phas...
Summary of monitoring and evaluation data requirements for Africa RISING phas...Summary of monitoring and evaluation data requirements for Africa RISING phas...
Summary of monitoring and evaluation data requirements for Africa RISING phas...
africa-rising
 
A Scoping study of the evolving institutional structures for the delivery of ...
A Scoping study of the evolving institutional structures for the delivery of ...A Scoping study of the evolving institutional structures for the delivery of ...
A Scoping study of the evolving institutional structures for the delivery of ...
Hillary Hanson
 

What's hot (9)

Technology Assessments Overview
Technology Assessments OverviewTechnology Assessments Overview
Technology Assessments Overview
 
Gire ppt iscram2015 15 05-2015
Gire ppt iscram2015 15 05-2015Gire ppt iscram2015 15 05-2015
Gire ppt iscram2015 15 05-2015
 
Measuring the impact of the RDP - Paul Keating
Measuring the impact of the RDP - Paul KeatingMeasuring the impact of the RDP - Paul Keating
Measuring the impact of the RDP - Paul Keating
 
Measuring the Impact of the RDP - Bernd Schuh
Measuring the Impact of the RDP - Bernd SchuhMeasuring the Impact of the RDP - Bernd Schuh
Measuring the Impact of the RDP - Bernd Schuh
 
Opportunities for impact evaluation in the NAP process
Opportunities for impact evaluation in the NAP processOpportunities for impact evaluation in the NAP process
Opportunities for impact evaluation in the NAP process
 
Food and nutrition security in 2050 some lessons from the foodsecure project
Food and nutrition security in 2050 some lessons from the foodsecure projectFood and nutrition security in 2050 some lessons from the foodsecure project
Food and nutrition security in 2050 some lessons from the foodsecure project
 
Portfolio
PortfolioPortfolio
Portfolio
 
Summary of monitoring and evaluation data requirements for Africa RISING phas...
Summary of monitoring and evaluation data requirements for Africa RISING phas...Summary of monitoring and evaluation data requirements for Africa RISING phas...
Summary of monitoring and evaluation data requirements for Africa RISING phas...
 
A Scoping study of the evolving institutional structures for the delivery of ...
A Scoping study of the evolving institutional structures for the delivery of ...A Scoping study of the evolving institutional structures for the delivery of ...
A Scoping study of the evolving institutional structures for the delivery of ...
 

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

Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
Artificial Neural Networks applications in Computer Aided Diagnosis. System d...Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
Technological Ecosystems for Enhancing Multiculturality
 
EO based information for food security policy and decision support
EO based information for food  security policy and decision  supportEO based information for food  security policy and decision  support
EO based information for food security policy and decision support
Francois Stepman
 
IFPRI - NAIP - Experiences about the Training Programs - Nachiket Kotwaliwale
IFPRI - NAIP  - Experiences about the Training Programs - Nachiket KotwaliwaleIFPRI - NAIP  - Experiences about the Training Programs - Nachiket Kotwaliwale
IFPRI - NAIP - Experiences about the Training Programs - Nachiket Kotwaliwale
International Food Policy Research Institute- South Asia Office
 
Crowd sourcing rangeland vegetation conditions
Crowd sourcing rangeland vegetation conditionsCrowd sourcing rangeland vegetation conditions
Crowd sourcing rangeland vegetation conditions
ILRI
 
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
Wolfgang Ksoll
 
abstract1 ppt (2).pptx
abstract1 ppt (2).pptxabstract1 ppt (2).pptx
abstract1 ppt (2).pptx
RamyaKona3
 
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptxAPPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
Anjali Singh
 
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdfapplicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
Soujannya Kundu Chowdhury
 
Leaf Disease Detection Using Image Processing and ML
Leaf Disease Detection Using Image Processing and MLLeaf Disease Detection Using Image Processing and ML
Leaf Disease Detection Using Image Processing and ML
IRJET Journal
 
Krishi.pptx
Krishi.pptxKrishi.pptx
Krishi.pptx
Hchethankumar
 
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
NAP Global Network
 
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docxConducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
margaretr5
 
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
IRJET Journal
 
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
Malawi Policy Learning Event - Food Production Systems Disruption - April 28...
Malawi Policy Learning Event - Food Production Systems Disruption -  April 28...Malawi Policy Learning Event - Food Production Systems Disruption -  April 28...
Malawi Policy Learning Event - Food Production Systems Disruption - April 28...
AKADEMIYA2063
 
CROP PHASE2.pptx
CROP PHASE2.pptxCROP PHASE2.pptx
CROP PHASE2.pptx
VarunMM2
 
Satellite innovation for scalling-up index insurance
Satellite innovation for scalling-up index insuranceSatellite innovation for scalling-up index insurance
Satellite innovation for scalling-up index insurance
Ruchit G Garg
 
Towards climate-smart decision support systems in the Philippines
Towards climate-smart decision support systems in the PhilippinesTowards climate-smart decision support systems in the Philippines
Towards climate-smart decision support systems in the Philippines
Decision and Policy Analysis Program
 
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)
 
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063
 

Similar to Agrihub INSPIRE Hackathon 2021: Challenge #6 Drones Utilization for Crop Protection (20)

Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
Artificial Neural Networks applications in Computer Aided Diagnosis. System d...Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
Artificial Neural Networks applications in Computer Aided Diagnosis. System d...
 
EO based information for food security policy and decision support
EO based information for food  security policy and decision  supportEO based information for food  security policy and decision  support
EO based information for food security policy and decision support
 
IFPRI - NAIP - Experiences about the Training Programs - Nachiket Kotwaliwale
IFPRI - NAIP  - Experiences about the Training Programs - Nachiket KotwaliwaleIFPRI - NAIP  - Experiences about the Training Programs - Nachiket Kotwaliwale
IFPRI - NAIP - Experiences about the Training Programs - Nachiket Kotwaliwale
 
Crowd sourcing rangeland vegetation conditions
Crowd sourcing rangeland vegetation conditionsCrowd sourcing rangeland vegetation conditions
Crowd sourcing rangeland vegetation conditions
 
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
NextGEOSS: The Next Generation European Data Hub and Cloud Platform for Earth...
 
abstract1 ppt (2).pptx
abstract1 ppt (2).pptxabstract1 ppt (2).pptx
abstract1 ppt (2).pptx
 
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptxAPPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
APPLICATION OF COMPUTERS IN EPIDEMIOLOGY AND PUBLIC HEALTH - ANJALI MAM.pptx
 
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdfapplicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
applicationofcomputersinepidemiologyandpublichealth_anjalimam_220617064511.pdf
 
Leaf Disease Detection Using Image Processing and ML
Leaf Disease Detection Using Image Processing and MLLeaf Disease Detection Using Image Processing and ML
Leaf Disease Detection Using Image Processing and ML
 
Krishi.pptx
Krishi.pptxKrishi.pptx
Krishi.pptx
 
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
Addressing Financing in the National Adaptation Planning Process in Peru | Ab...
 
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docxConducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
Conducting the EvaluationAnbrasi Edward, PhDJohns Hopkin.docx
 
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
AN EFFECTIVE APPROACH TO PREDICT COVID-19 USING DEEP LEARNING ALGORITHMS VIA ...
 
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
Malawi Learning Event - Food Production Systems Disruption - April, 28, 2021
 
Malawi Policy Learning Event - Food Production Systems Disruption - April 28...
Malawi Policy Learning Event - Food Production Systems Disruption -  April 28...Malawi Policy Learning Event - Food Production Systems Disruption -  April 28...
Malawi Policy Learning Event - Food Production Systems Disruption - April 28...
 
CROP PHASE2.pptx
CROP PHASE2.pptxCROP PHASE2.pptx
CROP PHASE2.pptx
 
Satellite innovation for scalling-up index insurance
Satellite innovation for scalling-up index insuranceSatellite innovation for scalling-up index insurance
Satellite innovation for scalling-up index insurance
 
Towards climate-smart decision support systems in the Philippines
Towards climate-smart decision support systems in the PhilippinesTowards climate-smart decision support systems in the Philippines
Towards climate-smart decision support systems in the Philippines
 
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
 
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
AKADEMIYA2063-Ecowas Regional Learning event: Food Crop Production during the...
 

More from plan4all

Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
plan4all
 
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation ManagementAgrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
plan4all
 
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoringAgrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
plan4all
 
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detectionAgrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
plan4all
 
Challenge #3 agro environmental services final presentation
Challenge #3 agro environmental services final presentationChallenge #3 agro environmental services final presentation
Challenge #3 agro environmental services final presentation
plan4all
 
Sieusoil e-brochure (Feb 2021)
Sieusoil e-brochure (Feb 2021)Sieusoil e-brochure (Feb 2021)
Sieusoil e-brochure (Feb 2021)
plan4all
 
Webinar 4 Agronode - autonomni telemetricka io t stanice
Webinar 4  Agronode - autonomni telemetricka io t staniceWebinar 4  Agronode - autonomni telemetricka io t stanice
Webinar 4 Agronode - autonomni telemetricka io t stanice
plan4all
 
Webinar 3 senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
Webinar 3   senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...Webinar 3   senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
Webinar 3 senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
plan4all
 
Webinar 2 sdileni prostorovych dat
Webinar 2 sdileni prostorovych datWebinar 2 sdileni prostorovych dat
Webinar 2 sdileni prostorovych dat
plan4all
 
Calculation of agro climatic factors from global climatic data
Calculation of agro climatic factors from global climatic dataCalculation of agro climatic factors from global climatic data
Calculation of agro climatic factors from global climatic data
plan4all
 
Digitalization of indigenous knowledge in African agriculture for fostering f...
Digitalization of indigenous knowledge in African agriculture for fostering f...Digitalization of indigenous knowledge in African agriculture for fostering f...
Digitalization of indigenous knowledge in African agriculture for fostering f...
plan4all
 
Atlas of Best Practice
Atlas of Best PracticeAtlas of Best Practice
Atlas of Best Practice
plan4all
 
Euxdat newsletter 10_2020
Euxdat newsletter 10_2020Euxdat newsletter 10_2020
Euxdat newsletter 10_2020
plan4all
 
Karel charvat map-compositions-format-intro-presentation-by-karel (1)
Karel charvat map-compositions-format-intro-presentation-by-karel (1)Karel charvat map-compositions-format-intro-presentation-by-karel (1)
Karel charvat map-compositions-format-intro-presentation-by-karel (1)
plan4all
 
Karel charvat map-whiteboard-collaborative-map-making-breakout-session
Karel charvat map-whiteboard-collaborative-map-making-breakout-sessionKarel charvat map-whiteboard-collaborative-map-making-breakout-session
Karel charvat map-whiteboard-collaborative-map-making-breakout-session
plan4all
 
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
plan4all
 
Codes of conduct for farm data sharing
Codes of conduct for farm data sharing Codes of conduct for farm data sharing
Codes of conduct for farm data sharing
plan4all
 
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
plan4all
 
Ethical and legal questions about smart farming. How do farmers feel about th...
Ethical and legal questions about smart farming. How do farmers feel about th...Ethical and legal questions about smart farming. How do farmers feel about th...
Ethical and legal questions about smart farming. How do farmers feel about th...
plan4all
 
DATACUBES: Conquering Space & Time
DATACUBES: Conquering Space & TimeDATACUBES: Conquering Space & Time
DATACUBES: Conquering Space & Time
plan4all
 

More from plan4all (20)

Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...
 
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation ManagementAgrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
Agrihub INSPIRE Hackathon 2021: Challenge #4 Irrigation Management
 
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoringAgrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
Agrihub INSPIRE Hackathon 2021: Challenge #2 Crop status monitoring
 
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detectionAgrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
Agrihub INSPIRE Hackathon 2021: Challenge #1 Crop detection
 
Challenge #3 agro environmental services final presentation
Challenge #3 agro environmental services final presentationChallenge #3 agro environmental services final presentation
Challenge #3 agro environmental services final presentation
 
Sieusoil e-brochure (Feb 2021)
Sieusoil e-brochure (Feb 2021)Sieusoil e-brochure (Feb 2021)
Sieusoil e-brochure (Feb 2021)
 
Webinar 4 Agronode - autonomni telemetricka io t stanice
Webinar 4  Agronode - autonomni telemetricka io t staniceWebinar 4  Agronode - autonomni telemetricka io t stanice
Webinar 4 Agronode - autonomni telemetricka io t stanice
 
Webinar 3 senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
Webinar 3   senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...Webinar 3   senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
Webinar 3 senslog-otevrene reseni pro integraci senzoru a spravu senzorovyc...
 
Webinar 2 sdileni prostorovych dat
Webinar 2 sdileni prostorovych datWebinar 2 sdileni prostorovych dat
Webinar 2 sdileni prostorovych dat
 
Calculation of agro climatic factors from global climatic data
Calculation of agro climatic factors from global climatic dataCalculation of agro climatic factors from global climatic data
Calculation of agro climatic factors from global climatic data
 
Digitalization of indigenous knowledge in African agriculture for fostering f...
Digitalization of indigenous knowledge in African agriculture for fostering f...Digitalization of indigenous knowledge in African agriculture for fostering f...
Digitalization of indigenous knowledge in African agriculture for fostering f...
 
Atlas of Best Practice
Atlas of Best PracticeAtlas of Best Practice
Atlas of Best Practice
 
Euxdat newsletter 10_2020
Euxdat newsletter 10_2020Euxdat newsletter 10_2020
Euxdat newsletter 10_2020
 
Karel charvat map-compositions-format-intro-presentation-by-karel (1)
Karel charvat map-compositions-format-intro-presentation-by-karel (1)Karel charvat map-compositions-format-intro-presentation-by-karel (1)
Karel charvat map-compositions-format-intro-presentation-by-karel (1)
 
Karel charvat map-whiteboard-collaborative-map-making-breakout-session
Karel charvat map-whiteboard-collaborative-map-making-breakout-sessionKarel charvat map-whiteboard-collaborative-map-making-breakout-session
Karel charvat map-whiteboard-collaborative-map-making-breakout-session
 
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
Bridging the Digital Divide Through Consumer Driven Agricultural FarmHub Data...
 
Codes of conduct for farm data sharing
Codes of conduct for farm data sharing Codes of conduct for farm data sharing
Codes of conduct for farm data sharing
 
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
Mobilizing Capacity Development in Agriculture for Smallholder Farmers - How ...
 
Ethical and legal questions about smart farming. How do farmers feel about th...
Ethical and legal questions about smart farming. How do farmers feel about th...Ethical and legal questions about smart farming. How do farmers feel about th...
Ethical and legal questions about smart farming. How do farmers feel about th...
 
DATACUBES: Conquering Space & Time
DATACUBES: Conquering Space & TimeDATACUBES: Conquering Space & Time
DATACUBES: Conquering Space & Time
 

Recently uploaded

一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
slg6lamcq
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Linda486226
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
Oppotus
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
ewymefz
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
ewymefz
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
axoqas
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
enxupq
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
yhkoc
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
axoqas
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Boston Institute of Analytics
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
ewymefz
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
MaleehaSheikh2
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
AbhimanyuSinha9
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
jerlynmaetalle
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
nscud
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
oz8q3jxlp
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 

Recently uploaded (20)

一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
一比一原版(UniSA毕业证书)南澳大学毕业证如何办理
 
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdfSample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
Sample_Global Non-invasive Prenatal Testing (NIPT) Market, 2019-2030.pdf
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
 
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
哪里卖(usq毕业证书)南昆士兰大学毕业证研究生文凭证书托福证书原版一模一样
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
 
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
做(mqu毕业证书)麦考瑞大学毕业证硕士文凭证书学费发票原版一模一样
 
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project PresentationPredicting Product Ad Campaign Performance: A Data Analysis Project Presentation
Predicting Product Ad Campaign Performance: A Data Analysis Project Presentation
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
 
FP Growth Algorithm and its Applications
FP Growth Algorithm and its ApplicationsFP Growth Algorithm and its Applications
FP Growth Algorithm and its Applications
 
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
 
The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...The affect of service quality and online reviews on customer loyalty in the E...
The affect of service quality and online reviews on customer loyalty in the E...
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
 
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 

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