Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
The EasyHarvest app in the Philippines is already cutting rice postharvest losses for farmers and reducing transport emissions.
The Plantix app in India uses machine learning, helping thousands of farmers detect and diagnose disease and pest damage.
CGIAR staff participated in a two-day training course to develop capabilities for spatial analysis, automatizing image processing, machine learning, and other approaches for working on large climate data sets. This blog was originally posted on the CIMMYT Intranet.
Now in its third year, the BIG DATA Platform’s Inspire Challenge has invested more than two million USD in innovative big data projects that seek to solve agricultural development issues.