agmip / AgML

AgML aspires to identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research and support enhanced collaboration and engagement between experts in these disciplines.

AgML - Machine Learning for Agricultural Modeling

AgML is the AgMIP transdisciplinary community of agricultural and machine learning modelers.

AgML aspires to

• identify key research gaps and opportunities at the intersection of agricultural modelling and machine learning research,
• support enhanced collaboration and engagement between experts in these disciplines, and
• conduct and publish protocol-based studies to establish best practices for robust machine learning use in agricultural modelling.

AgML Tasks

Tasks	Working Document	GitHub Repository
Subnational crop yield forecasting	Subnational crop yield forecasting	AgML-crop-yield-forecasting
Climate change projections of agricultural yields

For more information please visit the AgML website.