A new publication from scientists at the International Maize and Wheat Improvement Center highlights the need to better constrain parameters of global gridded crop models, particularly in the mid to high latitudes, to improve predictability.

This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.

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This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.

This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.

This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.

This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.

This blog is a submission to the Community of Practice on Data-Driven Agronomy’s blog competition on digital extension—an opportunity for those working in the digital extension in agriculture field to share their experiences with their technologies, business models, key challenges, and major bottlenecks, as well as how they solved such challenges, when creating and implementing innovative solutions.