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AIR-BORNE REMOTE SENSING AS A MONITORING TOOL
FOR SMALLHOLDER’S CROPPING SYSTEMS IN EAST AFRICA
Project Advances and Lessons Learnt
Presented by Dieudonné Harahagazwe, PhD
Contents
• Project Aim
• Achievements
• Regulatory frameworks
• Way forward
The aim of this “proof of concept”
project is to develop and validate
a low-cost UAV-based remote
sensing tool for crop area
determination (ARSIS) using
sweetpotato as a pilot crop
PROJECT AIM
2002
Balloons:
• Hot air.
• Hellium.
2008
Model planes:
• Combustion.
• Electric. 2009
Helicopter:
•Combustion.
•Eléctric. 2012
Multirotor:
• Quadcopter.
• Octocopter.
How did we get here?
4
1. A community of practice in East
Africa
2. The UAV-RS platform
3. First field mission
ACHIEVEMENTS
ILRI Campus, Nairobi, Kenya
October 7, 2014
Ach.1: A community of practice
Workshop objectives
How can ARSIS become part of the tools that improve
agriculture and the wellbeing of smallholder farmers?
Specific Objectives:
1) Learn what ARSIS means to each participants’
practice: core developers, application
scientists, end users & enablers
2) Identify networks of collaboration for the
community of practice in each country/region
3) Plan next steps
Community of practice on UAV for
agriculture in ECA region
Institutions generating the
innovation
Users of the Innovation
(Cost effective improved crop statistics
and
landscape mapping)
Users of the Information
(Better priority setting and budgeting)
• International Research Organizations
• University and National Research
Organizations
• Private Sector
• Governments and Public Institutions
• Regional Organizations
• National Agricultural Bureaus of Statistics
• Public Institutions
• International, regional and national
research and development organizations
• International and regional planning and aid
organizations
• National, regional, districts, counties, and
local organizations
• Research and development organizations in
agriculture
Theory of change
Innovation Flow & Feedback Loops
• Core
Developers
(Hardware &
Software)
Developing
• Application
Scientists (Exploring
Applications; Field
Experiments)
Exploring
Potential Users
• End users
• Enablers
Real world
Applications
Highlights of messages from the meeting
• Identified needs at smallholder farms:
crop area statistics, Yield assessment, Variety discrimination,
Early disease detection, Soil erosion and fertility assessment
and Irrigation performance
• Costs, accessibility, and user-friendliness matters
• Involving local institutions at different stages is a
must
• Walk the talk – e.g. test in making official statistics
• Complementarity with satellite imageries
• Stepwise – From simple to complex tools
Octocopter assembled using
imported parts
3D printed quadcopter
together with an open source
flight controller
1. The vehicle
January 2015 November 2015
Ach.2: The UAV-RS platform
(open source)
NDVI with TETRACAM ADC Micro NDVI with CIP Built CameraRGB Original Image – Canon EOS
2. The sensors
Reducing camera cost while improving image quality
Spectra CIP Spectroscopy Operating
Software for Windows
3. The interface - electronics
Spectra CIP Software
Mosaic produced
High Resolution Mapping using Stitching Algorithm
Image Stitching Software (open
source)
Ach. 3: Field mission in Tanzania
Aerial image taken with a regular digital camera
Identification of crops from image taken using regular camera
REGULATORY FRAMEWORKS
Regulatory
Framework
Community
of practice
Smallholder
farmers
Obtaining flight permits
is the most challenging
constraint in East Africa
due to lack of regulatory
frameworks
Applications for flight permits
Country Purpose Date of
process
initiation
Applicatio
n date
Response
date
Observation
Kenya Test the newly
assembled UAV
21/01/2015 27 January UAVs are on
ban in the
country until
regulatory
framework
released
Tanzania One week field
mission
27/01/2015 5 March 27 March Mission
completed
Uganda One week field
mission
27/01/2015 5 Nov. Mission
planned in
December
Rwanda 1 hour
demonstration
in a conference
27/7/2015 21 Sept. 28 Sept. Mission
completed
The most critical issue is to know from where to start the application
WAY FORWARD
• Planning and implementing joint work with
STARS Project
• Second workshop to take place in Mwanza,
Tanzania (March 2016) mainly focused on
advances in the theory of change:
– translational research to provide information in
the context of the decision makers
– identifying impact pathways, and
– Defining strategies for overcoming barriers
related to regulatory frameworks
The team:
R. Quiroz, C. Valdivia, H. Loayza, A. Bett, S.
Palacios, M. Balcazar, L. Silva, A. Posadas,
F. Mendiburu, V. Mares, C. Barreda,
M. Cruz, J. Alcazar, R. Morales,
E. Cheruiyot, D. Ramirez &
D. Harahagazwe
Thank you
For further information, please contact Dr. Roberto Quiroz at
r.quiroz@cgiar.org

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Air-borne remote sensing as a monitoring tool for smallholder's cropping systems in East Africa

  • 1. AIR-BORNE REMOTE SENSING AS A MONITORING TOOL FOR SMALLHOLDER’S CROPPING SYSTEMS IN EAST AFRICA Project Advances and Lessons Learnt Presented by Dieudonné Harahagazwe, PhD
  • 2. Contents • Project Aim • Achievements • Regulatory frameworks • Way forward
  • 3. The aim of this “proof of concept” project is to develop and validate a low-cost UAV-based remote sensing tool for crop area determination (ARSIS) using sweetpotato as a pilot crop PROJECT AIM
  • 4. 2002 Balloons: • Hot air. • Hellium. 2008 Model planes: • Combustion. • Electric. 2009 Helicopter: •Combustion. •Eléctric. 2012 Multirotor: • Quadcopter. • Octocopter. How did we get here? 4
  • 5. 1. A community of practice in East Africa 2. The UAV-RS platform 3. First field mission ACHIEVEMENTS
  • 6. ILRI Campus, Nairobi, Kenya October 7, 2014 Ach.1: A community of practice
  • 7. Workshop objectives How can ARSIS become part of the tools that improve agriculture and the wellbeing of smallholder farmers? Specific Objectives: 1) Learn what ARSIS means to each participants’ practice: core developers, application scientists, end users & enablers 2) Identify networks of collaboration for the community of practice in each country/region 3) Plan next steps
  • 8. Community of practice on UAV for agriculture in ECA region Institutions generating the innovation Users of the Innovation (Cost effective improved crop statistics and landscape mapping) Users of the Information (Better priority setting and budgeting) • International Research Organizations • University and National Research Organizations • Private Sector • Governments and Public Institutions • Regional Organizations • National Agricultural Bureaus of Statistics • Public Institutions • International, regional and national research and development organizations • International and regional planning and aid organizations • National, regional, districts, counties, and local organizations • Research and development organizations in agriculture
  • 9. Theory of change Innovation Flow & Feedback Loops • Core Developers (Hardware & Software) Developing • Application Scientists (Exploring Applications; Field Experiments) Exploring Potential Users • End users • Enablers Real world Applications
  • 10. Highlights of messages from the meeting • Identified needs at smallholder farms: crop area statistics, Yield assessment, Variety discrimination, Early disease detection, Soil erosion and fertility assessment and Irrigation performance • Costs, accessibility, and user-friendliness matters • Involving local institutions at different stages is a must • Walk the talk – e.g. test in making official statistics • Complementarity with satellite imageries • Stepwise – From simple to complex tools
  • 11. Octocopter assembled using imported parts 3D printed quadcopter together with an open source flight controller 1. The vehicle January 2015 November 2015 Ach.2: The UAV-RS platform (open source)
  • 12. NDVI with TETRACAM ADC Micro NDVI with CIP Built CameraRGB Original Image – Canon EOS 2. The sensors Reducing camera cost while improving image quality
  • 13. Spectra CIP Spectroscopy Operating Software for Windows 3. The interface - electronics Spectra CIP Software
  • 14. Mosaic produced High Resolution Mapping using Stitching Algorithm Image Stitching Software (open source)
  • 15. Ach. 3: Field mission in Tanzania
  • 16. Aerial image taken with a regular digital camera
  • 17. Identification of crops from image taken using regular camera
  • 18. REGULATORY FRAMEWORKS Regulatory Framework Community of practice Smallholder farmers Obtaining flight permits is the most challenging constraint in East Africa due to lack of regulatory frameworks
  • 19. Applications for flight permits Country Purpose Date of process initiation Applicatio n date Response date Observation Kenya Test the newly assembled UAV 21/01/2015 27 January UAVs are on ban in the country until regulatory framework released Tanzania One week field mission 27/01/2015 5 March 27 March Mission completed Uganda One week field mission 27/01/2015 5 Nov. Mission planned in December Rwanda 1 hour demonstration in a conference 27/7/2015 21 Sept. 28 Sept. Mission completed The most critical issue is to know from where to start the application
  • 20. WAY FORWARD • Planning and implementing joint work with STARS Project • Second workshop to take place in Mwanza, Tanzania (March 2016) mainly focused on advances in the theory of change: – translational research to provide information in the context of the decision makers – identifying impact pathways, and – Defining strategies for overcoming barriers related to regulatory frameworks
  • 21. The team: R. Quiroz, C. Valdivia, H. Loayza, A. Bett, S. Palacios, M. Balcazar, L. Silva, A. Posadas, F. Mendiburu, V. Mares, C. Barreda, M. Cruz, J. Alcazar, R. Morales, E. Cheruiyot, D. Ramirez & D. Harahagazwe Thank you For further information, please contact Dr. Roberto Quiroz at r.quiroz@cgiar.org