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.
• Get more information about the CoP on our website: https://bigdata.cgiar.org/communities-of-practice/data-driven-agronomy/
• Join our mailing list to get information about publications, webinars, new tools, updates, and collaboration opportunities: https://cgiar.us15.list-manage.com/subscribe?u=59a7500ef5c94dd50e2b9e2fb&id=454e94d3f2
• Connect to our LinkedIn community: https://www.linkedin.com/groups/13706731/
We are looking forward to welcoming you to our community!
– DDA CoP team
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