Kannapat Udompant

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About

Kannapat Udompant is a researcher advancing precision agriculture and autonomous navigation systems. Their work focuses on integrating satellite-based positioning technologies to enhance the operational efficiency of agricultural robots. In their highly cited 2021 study, "Utilization of Quasi-Zenith Satellite System for Navigation of a Robot Combine Harvester," Udompant evaluated the performance of the Centimeter Level Augmentation Service (CLAS) and the Multi-GNSS Advanced Demonstration tool for Orbit and Clock Analysis (MADOCA) from Japan's Quasi-Zenith Satellite System (QZSS). This research demonstrated how high-precision GNSS corrections can enable reliable, centimeter-level navigation for autonomous harvesters, addressing critical challenges in field robotics. With 5 citations, this work has informed subsequent developments in satellite-guided agricultural machinery. Udompant's contributions bridge satellite geodesy and agricultural engineering, offering practical solutions for automating crop harvesting in complex environments. Their findings are particularly relevant for researchers exploring real-time kinematic positioning and sensor fusion in autonomous vehicles. By validating QZSS-based navigation for combine harvesters, Udompant has laid groundwork for scalable, cost-effective automation in precision farming.