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.
Extract crop boundaries and/or identify crop type at country or continental level from time series of satellite images.
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