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 78 percent.

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Bibliographic Details
Main Author: CGIAR Platform for Big Data in Agriculture
Format: Report biblioteca
Language:English
Published: 2018-12-31
Subjects:crops, development, rural development, data, wheat, analysis, insurance, learning, agricultural practices, systems, knowledge, agrifood systems,
Online Access:https://hdl.handle.net/10568/122990
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