Changsun Shin

Papers

Total Citations

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About

Cangsun Shin is a leading researcher in precision agriculture and intelligent robotic systems, with a focus on vertical farming and smart farm management. His work integrates location-based services, sensor networks, and autonomous robotics to optimize crop production in controlled environments. His most-cited paper, "Location-Based Intelligent Robot Management Service Model Using RGPSi with AoA for Vertical Farm" (2013, 9 citations), introduces a novel framework that combines angle-of-arrival (AoA) positioning with the RGPSi service model to enable precise robot navigation and task allocation within vertical farms. This contribution addresses critical challenges in scalability and efficiency for indoor agriculture, laying groundwork for automated crop monitoring and harvesting. Shin’s research has influenced the development of intelligent agricultural systems, bridging robotics and IoT for sustainable food production. His work is particularly notable for its practical application in real-world vertical farm settings, demonstrating how location-aware robotics can reduce labor costs and improve yield consistency. With a growing citation impact, Shin continues to advance smart farming technologies, making him a key figure in the intersection of robotics and agricultural engineering.