Inspire Challenge Award: Seeing is believing – Using smartphone camera data

This project integrates machine-learning analysis of cellphone camera images of crops into the functioning of an insurance and farm advisory service. Early results from a RCT demonstrated advisory messages, which reached 32,237 wheat producers, increased knowledge on best agricultural practices by 7...

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Bibliographic Details
Main Author: CGIAR Platform for Big Data in Agriculture
Format: Informe técnico
Language:Inglés
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10568/122990
Description
Summary:This project integrates machine-learning analysis of cellphone camera images of crops into the functioning of an insurance and farm advisory service. Early results from a RCT demonstrated advisory messages, which reached 32,237 wheat producers, increased knowledge on best agricultural practices by 78 percent.