This research paper addresses the use of application maps in precision farming, with a particular focus on grassland management, which accounts for over 21% of utilised agricultural area (UAA) in Poland. Advances in smart farming technologies (Precision Agriculture, Agriculture 4.0), especially in sensor systems and data processing, enable the acquisition of high-resolution spatial and temporal data describing biological production processes. Such information supports the optimisation of agricultural practices and helps reduce trade-offs between productivity and environmental sustainability.
The paper presents a system developed within the GRASSAT project, based on data from the Copernicus Programme, including Sentinel-1, Sentinel-2, and ERA5-Land reanalysis. The application, available on both desktop and mobile platforms, provides farmers with information derived from remote sensing indices such as NDVI, LAI, and estimated fresh biomass, allowing them to assess vegetation condition. It also includes information on meteorological risks, such as frost events, supporting informed decision-making in grassland management.
Research article is available at the https://doi.org/10.14746/quageo-2025-0008
