Development of a platform for pasture management in the dehesa
The GRASSEN operational group aims to develop a platform to support pasture management in the dehesa; integrating information from various types of remote and proximal sensors; combined with field data. Key recommendations include analyzing experiences in sensorisation and remote detection; compiling georeferenced data on Mediterranean pastures; and developing mathematical models to estimate pasture production; structure; and quality. Results obtained so far include a list of the most common pasture varieties in the region; reports on cultivated pasture types; protocols for image analysis using different methods (SENTINEL-2; unmanned flights; multispectral cameras); and mathematical models to estimate pasture production; structure; and quality. These findings are crucial for improving pasture management in the dehesa; enabling managers to make informed decisions to maximize productivity and sustainability in this important agroforestry system.
Institutions
- Universidade de Santiago de Compostela (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-09
- DOI
- https://doi.org/10.5281/zenodo.15370453
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00