ricber / digital-agriculture-datasets

What it does

This curated list gathers publicly available datasets supporting the development of artificial intelligence and robotics solutions for agriculture. The datasets are organized by task—ranging from image classification to robotic navigation—and span different sensing modalities, including RGB, multispectral, hyperspectral, and 3D LiDAR. These resources are useful for training and evaluating machine learning models, especially in precision agriculture, crop monitoring, weed detection, and off-road autonomous navigation.