Datasets for Crop Monitoring

Enhanced Agriculture Datasets for Remote Crop Monitoring

The lack of labeled crop datasets represents a significant challenge for crop analytics. Pula Advisors and partner organizations will create and augment labeled remote sensing and field datasets during the growing season and at harvest time in Kenya and Zambia. The project will apply machine learning models to assess risk and gain insight into the impact of weather, agroecological conditions, and agronomic behaviors of farm yields and overall productivity. Additionally, the project will build national yield maps for the main crops in the two countries by collecting data points for 4,000 individual smallholder farmer households. Data will be made available via a public API and will be accessible through Github.

Kenya and Zambia

Lulu Saida, Pula Advisors