Eric P. Prostko
Papers
2
Total Citations
59
H-Index
2
About
Eric P. Prostko is a leading researcher at the intersection of precision agriculture, robotics, and artificial intelligence, with a primary focus on developing autonomous systems for sustainable weed management. His major contributions lie in the integration of deep learning models with real-time embedded systems for weed detection and robotic control. Notably, his 2024 work on evaluating deep learning inference performance for real-time weed detection in embedded computers (37 citations) provides critical insights into deploying AI on resource-constrained agricultural robots. Prostko further advanced the field by designing an autonomous diode laser weeding mobile robot for cotton fields (22 citations), combining deep learning, visual servoing, and finite state machines to achieve chemical-free weed elimination. This work directly addresses the pressing need for alternatives to herbicides, reducing labor costs and environmental impact. By pioneering small, intelligent robotic platforms that target weeds at early growth stages, Prostko is helping to reshape modern agriculture toward greater efficiency and sustainability. His research is highly relevant for students and researchers interested in applied AI, agricultural robotics, and eco-friendly farming technologies.
Research Focus
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Top Papers
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