To the Data-Driven Agronomy Community of Practice
Data-driven agronomy refers to an approach or a set of approaches using digital technology to source, analyze and translate data into timely, practical and context-specific information to help farmers make the best choices for their farms.
As a community of practice we aim to collectively strengthen the innovation of technology and big data to tackle an array of agricultural challenges – including the closing of yield gaps – to reduce hunger and poverty and transform global agriculture.
The data-driven agronomy CoP, led by CIAT, builds capacity among farmers, researchers, rural advisory service providers and CGIAR strategic partners. This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.
Interested in joining our community of practice?
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