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Improving Aerial Segmentation Data Quality Outcomes for Precision Agriculture
Getting high-quality insights and building relevant datasets from drone and satellite imagery can be time-consuming and cost-prohibitive for scientists, engineers, and researchers. Whether it is public data like Landsat and Sentinel or commercial data, organizing these datasets into clean, processed data, can be a huge burden on customers and end-users.
Our use cases include crop and yield management, disease detection, livestock/fish management, forest mapping and land use, insurance, and sustainability practices.