Webinar – Machine Learning with Metadata and Experimental Citizen Science in R
Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
Uber for tractors: a digital tool to cut rice losses
The EasyHarvest app in the Philippines is already cutting rice postharvest losses for farmers and reducing transport emissions.
Artificial intelligence to track pests and diseases in India
The Plantix app in India uses machine learning, helping thousands of farmers detect and diagnose disease and pest damage.
Spatial prediction with R
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.
Meet the 2019 Inspire Challenge winners selected at BIG DATA Convention
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.