dos Santos Andreza

Papers

2

Total Citations

30

H-Index

2

About

Andreza dos Santos is a researcher at the forefront of precision agriculture and computer vision, with a primary focus on developing datasets and methods for automated crop analysis. Her most significant contribution is the creation of the Embrapa Wine Grape Instance Segmentation Dataset (Embrapa WGISD), a pioneering resource that provides high-quality, annotated images of wine grapes for instance segmentation tasks. This dataset, which has accumulated over 30 citations, has become a critical benchmark for training and evaluating deep learning models in agricultural applications, enabling more accurate yield estimation and disease detection in vineyards. By following the rigorous datasheet recommendations for dataset creation, dos Santos has set a standard for transparency and reproducibility in agricultural AI research. Her work directly addresses the challenge of automating visual inspection in complex field environments, bridging the gap between computer vision and sustainable farming practices. Through the Embrapa WGISD, dos Santos has empowered researchers and practitioners to develop more robust and reliable models for precision viticulture, making her a key contributor to the growing intersection of technology and agriculture.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD
19 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1
    Embrapa Wine Grape Instance Segmentation Dataset – Embrapa WGISD
    19 citations · 2019
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago