Dimitrios Kapetas
Information Technologies Institute, Centre for Research and Technology Hellas
Papers
5
Total Citations
33
H-Index
3
About
Dimitrios Kapetas is pioneering the intersection of artificial intelligence and precision agriculture, with a focused mission to revolutionize early plant disease detection. His core research integrates Vision Transformers, multi-spectral imaging, and molecular diagnostics to combat devastating crop pathogens like *Botrytis cinerea* (gray mold). Kapetas’s most cited work, “Vision Transformers in Optimization of AI-Based Early Detection of Botrytis cinerea” (2024, 16 citations), establishes a foundational AI framework for autonomous robotic scouting. He extends this by fusing deep learning with PCR-based assays, as demonstrated in his comparative evaluation on pepper plants (2025, 4 citations), bridging the gap between computational and biological detection. His innovative use of a dual-head SegFormer architecture for grapevine disease segmentation (2026) achieves over 11% improvement in leaf segmentation IoU, enabling practical deployment on UAVs and robots. Beyond detection, Kapetas addresses real-world agricultural challenges through Decision Support Systems (DSS) for aquaponic farming, emphasizing user-friendly interfaces to drive adoption. With a rapidly growing citation footprint, his work directly supports the development of self-navigating robots for sustainable agriculture, positioning him as a key contributor to the future of AI-driven crop protection.
Research Focus
Key Achievements
Top Papers
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