Ioannis Vagelas
Papers
3
Total Citations
10
H-Index
2
About
Ioannis Vagelas is a researcher at the forefront of integrating precision agriculture, artificial intelligence, and plant pathology. His work centers on developing innovative, technology-driven solutions for crop protection and sustainable farming, with a particular focus on walnut and grapevine cultivation. A major contribution is his pioneering review on using drone technology for the artificial pollination of walnut trees, exploring how this method can simultaneously minimize the presence of the bacterial pathogen *Xanthomonas arboricola* pv. *juglandis*. This work, which has garnered early citations, addresses a critical challenge in walnut production by proposing a dual-purpose solution for pollination and disease management. More recently, Vagelas has advanced the field of precision viticulture by developing a multispectral, AI-driven imaging framework for the early detection of downy mildew and gray mold in grapevines. By fusing multispectral and depth data with a dual-head SegFormer model, his research achieves over 11% improvement in leaf segmentation accuracy, enabling robust, pixel-level disease classification. This work is foundational for deploying autonomous UAVs and robotic systems for real-time, targeted disease intervention, marking a significant step toward reducing chemical inputs and enhancing crop resilience.
Research Focus
Key Achievements
Top Papers
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