Presentation by Eskender Beza, João Vasco Silva, Pytrik Reidsma, Martin Herold, Lammert Kooistra, Laboratory of Geo-Information Science and Remote Sensing and Plant Production System (PPS) Session: ICTs/Mobile Apps for Management and Use of Agricultural Data on 7 Nov 2013 ICT4Ag, Kiali, Rwanda

1. Yield gap analysis: opportunities for crowdsourcing
approaches to collect farm level data
Eskender Beza1,2, João Vasco Silva2, Pytrik Reidsma2, Martin Herold1, Lammert Kooistra 1
ICT4Ag international conference
4-8 November 2013
Rwanda, Kigali
1Laboratory
of Geo-Information Science and Remote Sensing
and
2Plant Production System (PPS)

2. Yield gap: Magnitude of the yield gap
Global yield gap
atlas (GYGA)
www.yieldgap.org
• To provide the
best estimates
of the
exploitable
yield gap
• It indicates
where the
highest yield
gaps exists.
Source: GYGA

3. What are the factors that cause the yield gap?
Identify literatures
Methods
used
Validation using
authors feedback
Selection of
factors
Location of
study areas
Data
sources
Yield gap
factors
database
Spatial
analysis
Framework
proposal

4. Considered and Explaining factors

5. Yield gap explaining factors in different regions

6. How to collect these many and diverse factors?
 Current data collection methods
Disadvantages
- Expensive
- Very labour demanding
- Longer time from collection to
analysis

7. Crowdsourcing for Agriculture: Case studies
 Climate change adaptation: Seeds4Needs – Biodiversity international
 Tracking Pest and Disease Outbreaks
● CABI – Plantwise
● Grameen’s Community Knowledge Worker Program
 Verifying Local Weather
● RANET project – Metrological Department in Zambia
 M-Farm and iCow in Kenya
Ready-to-use platforms to crowdsource information:
o
o
o
Jana
Ushahidi
Open Data Kit (ODK)....

8. Crowdsourcing: Yield
gap analysis
• Case study
• Best practices
• Identify motivation
• Developing a framework
Thank you