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Opportunities for Crowdsourcing approach to collect
biophysical and socio-economic factors for yield gap
analysis
Eskender Beza, Joao Silva, Pytrik Reidsma, Martin Herold,
Lammert Kooistra
Introduction: Yield gap analysis
(Van Ittersum and Rabbinge, 1997; Van Ittersum et al (2013)
o Anticipated world population by 2050 o Closing the ‘yield gap’ on currently available agricultural lands
Concepts in production ecology
Major steps for Yield gap analysis: Two
Step 1: Measuring
Main reason for this step: To identify the potential
scope for raising average yields via management changes
Commonly used methods for Yp:
o Crop growth models o Field experiments o Best farmers yields o Highest recorded yields o Earth Observation o ....... Source: GYGA
Main reason for this step: To identify the key causes of the yield gap
Commonly used methods: Statistical models, qualitative analysis, Frontier methods ....
Explaining yield gap: Step 2
Crowdsourcing
o The term Crowdsourcing was first coined in 2006 o It commonly refers to outsourcing a function done locally to
a large, disconnected group of people.
In the Context of Agriculture (Yield gap analysis):
“Crowdsourcing is when information is sourced from a group of people in response to an open call, a request for specific information, or for an exchange, organized by a central organizer/organizing body. ” (USAID, 2013)
Typology of Crowdsourcing
Type How it works Kinds of problems
Examples
Knowledge Discovery and Management (KDM)
Finding and collecting information
into a common location and format
Information gathering, organization, and
reporting
Geo-wiki OpenStreetMap
RANET iCow, M-Farm
Oxfam SMS
Distributed Human Intelligence Tasking
(DHIT)
For analysing large amounts of
information
For problems involving large-scale data
analysis
FoldIt, GalaxyZoo
Broadcast Search
Solving empirical problems
Ideation problems with empirically provable
solutions, such as scientific problems
Amazon Mechanical Turk
Peer-Vetted Creative Production
For creating and selecting creative
ideas
Ideation problems where solutions are matters of taste or market support, such as design or aesthetic
problems
Istockphoto Threadless
Brabham, 2013
Crowdsourcing for Yield gap analysis Steps:
oWhat is the ultimate goal: to collect data from large number of farms
o Identifying indicators/factors for yield gap analysis
o Selecting Crowdsourcing typology: KDM
o Identifying Crowdsourcing platform:
o Identifying the community and their motivation
Database of factors for yield gap analysis
What are the factors that cause yield gap?
Meta-analysis
Study locations for Meta-analysis
Meta-analysis results: Edaphic factors
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Meta-analysis results: Management factors
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Meta-analysis results: Farm Xtics & Socio-economic
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Yield gap explaining factors in different regions
Case study areas
Thank you for your attention
Photo by: Arun Pratihast
