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.
| 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.