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Yield gap analysis: opportunities for crowdsourcing approaches to collect farm level data
 

Yield gap analysis: opportunities for crowdsourcing approaches to collect farm level data

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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)

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

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    Yield gap analysis: opportunities for crowdsourcing approaches to collect farm level data Yield gap analysis: opportunities for crowdsourcing approaches to collect farm level data Presentation Transcript

    • 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)
    • 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
    • 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
    • Considered and Explaining factors
    • Yield gap explaining factors in different regions
    • How to collect these many and diverse factors?  Current data collection methods Disadvantages - Expensive - Very labour demanding - Longer time from collection to analysis
    • 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)....
    • Crowdsourcing: Yield gap analysis • Case study • Best practices • Identify motivation • Developing a framework Thank you