Konstantinos Tziridis
Papers
7
Total Citations
126
H-Index
6
About
Konstantinos Tziridis is a leading researcher at the intersection of robotics, computer vision, and precision agriculture, whose work is helping to realize the vision of Agriculture 4.0. His primary focus is on developing autonomous systems for fruit harvesting, with a particular emphasis on addressing critical labor shortages in viticulture. Tziridis’s most significant contribution is the integrated system architecture for an autonomous grape-harvester robot, a seminal work that has garnered 62 citations and serves as a blueprint for the field. His research is characterized by a multi-faceted approach to robotic perception and navigation. He has pioneered the use of deep learning and local texture descriptors for the semantic segmentation of vineyard images, enabling robots to visually identify grapes and navigate complex environments. Further extending this capability, his work on real-time trunk detection via deep learning provides reliable landmarks for safe robotic operation. To complete the autonomous loop, Tziridis has also developed methodologies for navigation route mapping using UAV-based remote sensing, allowing robots to plan efficient paths between crop rows. With a portfolio of highly cited papers, Tziridis is a key figure in advancing practical, scalable solutions for the future of automated agriculture.
Research Focus
Key Achievements
Top Papers
- 1An Autonomous Grape-Harvester Robot: Integrated System Architecture62 citations · 2021
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- 3Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks13 citations · 2020
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