This session on machine learning and crop modeling aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
2020 Convention session – Phenotyping & Remote Sensing to Facilitate Minimum Data Set Requirements for Crop Simulation Modeling
This session by the Crop Modeling Community of Practice aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
Supported by CGIAR Platform for Big Data in Agriculture, IFPRI’s MapSPAM team published a new version of Spatially-Disaggregated Crop Production Statistics Data.
Researchers are using data and tools to produce information that can help farmers, research institutions and governments take better decisions on agronomic practices and investments.