SinergIA
Remote Sensing and Artificial Intelligence for Mapping Energy Crops in the Brazilian Semi-Arid Region
SinergIA is a CNPq-funded project (BRL 249,937.95) focused on integrating remote sensing data with artificial intelligence techniques to map energy crops in the Brazilian Semi-Arid Region (2025–2027).
The project leverages multi-sensor satellite data (optical and SAR) combined with machine learning and deep learning approaches to identify and monitor crop dynamics in challenging environments.
Details
- Funding: CNPq (Brazil)
- Period: 2025–2027
- Role: Collaborator
- Budget: BRL 249,937.95