Farmpins Crop Classification Challenge

Ghana Crop Disease Detection Challenge

CGIAR Crop Yield Prediction Challenge

Can you predict maize yields on East African farms using satellite data?
These models often need to be applied at scale, so large ensembles aren’t encouraged. To incentivise more lightweight solutions, we are adding an additional submission criteria: your s

radiantearth/spot-the-crop-challenge

Winning models from the Radiant Earth Spot the Crop Challenge (https://zindi.africa/competitions/rad

Makerere Fall Armyworm Crop Challenge

Can you determine if maize crops have been affected by the fall armyworm pest?
The dataset contains images of maize crop leaves collected by research scientists from the Makerere Artificial Intelligence Lab, the Marconi Machine Learning Lab, and the Nationa

Farm Pin Crop Detection Challenge

Classify fields in South Africa by crop type using Sentinel-2 satellite imagery
The data have been split into a test and training set. The training set contains 2497 agricultural fields and the test set contains 1074 fields. The crops growing on each field

Amini Canopy or Crop Challenge

Can your model untangle forests from farms in the heart of West Africa?