Aikaterini Karampatea
Papers
3
Total Citations
61
H-Index
3
About
Aikaterini Karampatea is a leading researcher at the intersection of artificial intelligence, robotics, and sustainable agriculture, with a primary focus on precision viticulture. Her work addresses critical labor shortages and rising costs in modern viticulture by developing intelligent, autonomous solutions for vineyard management. Karampatea’s major contributions include pioneering a deep learning approach using YOLOv7 for non-destructive grape maturity assessment, a method that enhances harvesting accuracy and reduces reliance on labor-intensive sampling. She has also advanced the field by assessing the economic viability of multipurpose collaborative robots, demonstrating how these systems can make viticultural practices both more skillful and sustainable. Additionally, her use of Intervals’ Numbers (INs) techniques for non-destructive ripeness estimation provides a cost-effective alternative to traditional chemical analysis, minimizing post-harvest waste. With her most-cited paper garnering 34 citations and her work consistently published in high-impact venues, Karampatea’s research is shaping the future of smart farming. Her achievements underscore a commitment to merging cutting-edge technology with practical agricultural needs, making her a notable figure in the drive toward automated, data-driven viticulture.
Research Focus
Key Achievements
Top Papers
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