Computer Vision researcher applying deep learning to agriculture and animal welfare
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⬛🟥🟩🟨🟦🟪🟦⬜ 🟥🟧🟨🟩🟦🟪⬛⬜ |
Ph.D. in Agribusiness and Development (UNESP, 2026), college professor at FATEC Pompeia, collaborating professor at UNESP, and Head of Research & Innovation at CIAg. I build computer vision and deep learning systems for livestock monitoring — mainly multi-object tracking and behavior classification for laying hens — and lead applied R&D at the intersection of AI and agribusiness.
- 🎓 Defended my Ph.D. in 2026: Spatiotemporal Approaches and Dynamic Computer Vision Modeling for Laying Hen Behavior Classification
- 📚 Published 3 books in 2026, spanning AI/systems thinking, a startup narrative, and writing as a cognitive tool
- 🌱 Exploring agentic AI / small language models for agronomic decision support
- 💬 Ask me about multi-object tracking (YOLO, BoT-SORT), precision agriculture, or running ML training on a homelab instead of the cloud
- 📫 allan@fatecpompeia.edu.br
| Year | Title | Venue |
|---|---|---|
| 2026 | Behavioral Welfare Monitoring in Laying Hens: From Ethology to Artificial Intelligence — A Narrative Review | AgriEngineering |
| 2026 | DynROI-Hybrid: Dynamic modeling of functional regions for feeding and drinking behavior detection in laying hens | Computers and Electronics in Agriculture |
| 2024 | Optimizing Deep Learning Algorithms for Effective Chicken Tracking through Image Processing | AgriEngineering |
| 2023 | Assessment of Preference Behavior of Layer Hens under Different Light Colors and Temperature Environments Using a Computer Vision System | Animals |
| 2023 | Chicken Tracking and Individual Bird Activity Monitoring Using the BoT-SORT Algorithm | AgriEngineering |
| 2022 | Detection and Tracking of Chickens in Low-Light Images Using YOLO Network and Kalman Filter | Neural Computing & Applications |
Full list on Google Scholar and Lattes.
