Datasets

Agriculture

Providing personalized services to smallholder farmers is difficult if the data needed to accurately estimate crop yields does not exist. Lacuna Fund grantees are enabling new and more robust AI applications through remote sensing and other critical datasets.

Agriculture dataset imagery
Released datasets
9
Contributing authors
21+
Access & licensing
Open
Domain area
Agriculture
Why it matters

Agriculture and machine learning

Lacuna Fund agriculture datasets unlock the power of machine learning to alleviate food security challenges, spur economic opportunities, and give researchers, farmers, communities, and policymakers access to superior agricultural datasets. Learn more and download released datasets below.

Locally owned by design

Every dataset here was produced by teams in low- and middle-income contexts and is openly accessible to the international community.
Spotlight

Featured dataset

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Eyes on the Ground Image Data

This machine learning dataset of smallholder farmer’s fields includes georeferenced crop images along with labels on input use, crop management, phenology, crop damage, and yields, collected across 8 counties in Kenya.
Released datasets

9 datasets

Search the collection, then expand an entry to see authors, descriptions and access links.

Showing 9 of 9