The Board has initiated research and technology transfer actions to address the challenges threatening the dehesa system, in collaboration with Ifapa and other centers. The project aims to estimate pasture production and quality, predict acorn production, and apply intelligent pastural management using advanced technologies like GPS, remote sensors, and meteorological information. The project also involves using data from Sentinels satellites and flying manned and drone flights in collaborating farms to monitor the phenological cycle of holm oak and grass. An artificial vision algorithm is being developed to count acorns from photographs. Preliminary results include the validation and application of a pasture production model, determination of pasture phenology indicators from satellite images, thermal image monitoring for drought, and initial results in automatic acorn counting.