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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Detalles Bibliográficos
Autor principal: CGIAR Platform for Big Data in Agriculture
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/122990
Descripción
Sumario: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.