Eleftherios Karapatzak
Papers
3
Total Citations
66
H-Index
3
About
Eleftherios Karapatzak is a leading researcher at the intersection of artificial intelligence, robotics, and sustainable agriculture, with a primary focus on precision viticulture. His work addresses critical challenges facing the modern wine industry: labor shortages, rising operational costs, and the urgent need for environmental sustainability. Karapatzak’s major contributions include pioneering the application of deep learning for vineyard management. His highly cited 2023 paper on "A Deep Learning Approach for Precision Viticulture" (34 citations) introduces a YOLOv7-based algorithm that accurately assesses grape maturity, enabling robots to perform tasks like selective harvesting with unprecedented precision. He further advances the field by providing holistic assessments of robotic integration. His work on the comparative environmental and energy performance of collaborative robots (17 citations) demonstrates how automation can reduce agrochemical use and energy consumption, while his economic analysis (15 citations) proves the financial viability of multipurpose robots in skilled viticultural tasks. By bridging cutting-edge AI with practical agricultural engineering, Karapatzak is charting a path toward a more efficient, sustainable, and economically resilient future for viticulture.
Research Focus
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Top Papers
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