Theerapat Pobkrut

Papers

Total Citations

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About

Theerapat Pobkrut is a pioneering researcher at the intersection of robotics, sensor technology, and agriculture, with a primary focus on developing electronic nose (e-nose) systems and intelligent sensing for automation. His major contributions include the application of artificial neural networks to predict coffee quality—specifically acidity levels in fresh roasted beans—achieving 38 citations for his 2018 work that advances “digital deliciousness” technology for robotic chefs and baristas. Earlier, his 2014 paper on soil sensing survey robots, cited 33 times, established foundational methods for integrating e-nose sensors into autonomous ground and aerial vehicles for precision agriculture, enabling efficient soil and crop monitoring. Pobkrut’s work directly addresses the growing need for robotic perception in complex tasks, from farming to food preparation, by equipping machines with a sense of smell. His research is notable for bridging sensor engineering with practical automation, offering scalable solutions for labor-intensive industries. With a clear trajectory from soil sensing to flavor analysis, Pobkrut’s contributions are shaping the future of autonomous systems that interact intelligently with their environment.