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AI and Remote Sensing in FS and Agriculture
The Copernicus Programme provides a huge amount of satellite data and AI technologies could be used for accurately extracting the semantic from multisource, multiscale, multidimensional and multitemporal data. Indicative scenarios: Crop-type mapping:
SUCCESS STORIES
Wed 09 Mar 2022
Extract crop boundaries and/or identify crop type at country or continental level from time series of satellite images.
Crop-dynamic monitoring:
Extract near-real time phenological parameters of vegetation and fields, collect statistics, perform prediction of yields.
Support irrigation management:
Increase water savings and get optimized crop production
