Thiago Teixeira Santos
Papers
2
Total Citations
30
H-Index
2
About
Thiago Teixeira Santos is a leading researcher in agricultural computer vision, with a primary focus on deep learning for precision viticulture. His most significant contribution is the creation of the Embrapa Wine Grape Instance Segmentation Dataset (Embrapa WGISD), a pioneering open-source resource that has become a benchmark for instance segmentation of wine grapes in field images. This dataset, detailed in his highly cited 2019 paper (with over 30 combined citations), provides meticulously annotated images of grape bunches, enabling the development of robust models for yield estimation, disease detection, and automated harvesting. By addressing the critical lack of publicly available, high-quality agricultural datasets, Santos has directly accelerated research in applying computer vision to real-world farming challenges. His work at Embrapa, the Brazilian Agricultural Research Corporation, bridges the gap between cutting-edge AI and practical agronomy, empowering growers with data-driven tools. Through this foundational dataset, Santos has established himself as a key figure in the intersection of machine learning and sustainable agriculture, inspiring a new generation of researchers to tackle food security with intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD19 citations · 2019
- 2Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD11 citations · 2019