ricber/digital-agriculture-datasets

Open datasets for training and benchmarking AI and robotic systems in agriculture and off-road environments

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Emerging

This collection provides publicly available datasets for anyone building AI and robotic solutions in agriculture. It brings together diverse data, including standard camera images, multispectral, hyperspectral, and 3D LiDAR scans, to help train and evaluate models for tasks like identifying plant diseases, monitoring crops, detecting weeds, and enabling autonomous farm equipment. Farmers, agronomists, and agricultural technology developers would find this useful.

Use this if you need a variety of agricultural imaging datasets to develop or benchmark AI models for precision agriculture, crop health, or off-road robotics.

Not ideal if you are looking for financial, market, or human resources datasets, or if you need to perform general image classification outside of agricultural contexts.

precision-agriculture crop-monitoring weed-detection agricultural-robotics plant-health
No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 12 / 25

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58

Forks

7

Language

License

GPL-3.0

Last pushed

Jan 08, 2026

Commits (30d)

0

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