This curated list highlights papers and open-source resources focused primarily on agricultural assets within the fields of AI and computer vision. It aims to keep pace with the anticipated surge in research in the coming months. If you have any suggestions or additional resources, such as blog posts or videos, please feel free to contribute!
- ibm-nasa-geospatial/Prithvi-100M: Prithvi is a first-of-its-kind temporal Vision transformer pre-trained by the IBM and NASA team on contiguous US Harmonised Landsat Sentinel 2 (HLS) data.
- Functional Map of the World - Sentinel-2 corresponding images: The Functional Map of the World - Sentinel-2 corresponding images (fMoW-Sentinel) dataset consists of image time series collected by the Sentinel-2 satellite, corresponding to locations from the Functional Map of the World (fMoW) dataset across several different times.
Authors: Mubashir Noman, Muzammal Naseer, Hisham Cholakkal, Rao Muhammad Anwar, Salman Khan, Fahad Shahbaz Khan