Gerassimos G. Peteinatos
University of Hohenheim, Hospital Agioi Anargyroi, Hellenic Telecommunications Organization (Greece)
Papers
9
Total Citations
623
H-Index
6
About
Gerassimos G. Peteinatos is a leading researcher in precision agriculture and site-specific weed management, whose work sits at the intersection of robotics, machine learning, and sustainable crop protection. His highly cited review on advances in site-specific weed management (2022, 214 citations) established him as a authoritative voice on how information and automation technologies can tailor weed control to the spatial and temporal complexity of real agricultural fields. Complementing this, his work on sensor-based mechanical weed control (2020, 146 citations) has helped define the current state and future trajectory of non-chemical weeding strategies. Peteinatos has made significant contributions to artificial intelligence applications in agriculture, notably demonstrating that convolutional neural networks can accurately identify weeds in maize, sunflower, and potato crops (2020, 92 citations), and proposing CNN-integrated modular spot sprayers for precision herbicide application (2022, 75 citations). His comparative evaluation of seven robotic weeding systems in sugar beet and rapeseed underscores his commitment to translating research into practical field solutions. With a cumulative citation record exceeding 600 across his core publications, Peteinatos represents a pivotal figure driving the transition toward environmentally responsible, technology-enabled weed management in modern agriculture.
Research Focus
Key Achievements
Top Papers
- 1Advances in site‐specific weed management in agriculture—A review214 citations · 2022
- 2Sensor-based mechanical weed control: Present state and prospects146 citations · 2020
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- 9Robotic intra-row weed hoeing in maize and sugar beet4 citations · 2016