radiantearth/model_ecaas_agrifieldnet_gold
AgriFieldNet Model for Crop Detection from Satellite Imagery
This project helps agricultural researchers and field managers identify crop types across large areas using satellite images. You feed it satellite imagery, and it produces maps showing where different crops are growing. This tool is for agricultural scientists, agronomists, and remote sensing specialists who need to monitor crop distribution and health.
No commits in the last 6 months.
Use this if you need to accurately map various crop types from satellite imagery across a region to understand land use or monitor agricultural changes.
Not ideal if you need a quick, simple web application for crop detection or if you lack experience with command-line tools and setting up R and Python environments.
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Python
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Last pushed
Dec 21, 2022
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