George Vlontzos
Papers
4
Total Citations
122
H-Index
4
About
George Vlontzos is a pioneering researcher at the intersection of artificial intelligence, sustainable agriculture, and aquaculture technology. His work primarily focuses on transforming traditional farming and food production through data-driven innovation. Dr. Vlontzos’s most impactful contribution is his systematic review on AI-driven weed management, which has garnered 93 citations and establishes a roadmap for using deep learning to identify and manage weeds, directly addressing critical challenges in sustainable agriculture and food safety. He has also made significant strides in the food industry, applying data mining techniques—including clustering, classification, and feature selection—to optimize production and economic outcomes. Expanding into marine technology, Dr. Vlontzos recently led the development of a hybrid remotely operated underwater vehicle (HROV) for aquaculture maintenance, successfully field-tested in Greek fish farms. This work, already cited 8 times, demonstrates his ability to bridge theoretical AI with practical, real-world engineering. Through his diverse portfolio, Dr. Vlontzos is shaping a future where intelligent systems enhance both terrestrial and aquatic food production, making him a key figure in agri-tech and sustainable engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Data mining and optimisation issues in the food industry13 citations · 2017
- 3
- 4Data mining and optimisation issues in the food industry8 citations · 2017