Eftichia Badeka
Papers
7
Total Citations
104
H-Index
7
About
Eftichia Badeka is a leading researcher in agricultural robotics and precision viticulture, specializing in the development of autonomous systems for grape harvesting. Her work centers on integrating computer vision, deep learning, and multi-robot coordination to address critical labor shortages and enhance efficiency in vineyard operations. Badeka’s major contributions include pioneering the use of YOLOv7 for assessing grape maturity (34 citations), enabling real-time, accurate fruit selection, and developing cooperative heterogeneous robot systems for collaborative harvesting (17 citations). She has advanced visual segmentation techniques using local texture descriptors (15 citations) and created robust deep-learning methods for vineyard trunk detection (11 citations each), which are essential for safe robot navigation in dynamic agricultural environments. Her research also encompasses UAV-based remote sensing for route mapping (8 citations) and harvest crate detection via YOLOv3 (8 citations), demonstrating a comprehensive approach to automating the entire harvesting pipeline. With a growing citation impact, Badeka’s work is shaping the future of smart agriculture, making her a key figure in the transition toward fully autonomous, precision-driven viticulture.
Research Focus
Key Achievements
Top Papers
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- 2Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots17 citations · 2023
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