Xin Jin

Henan University of Science and Technology

Papers

Total Citations

149

H-Index

About

Xin Jin is a prominent researcher specializing in agricultural robotics, intelligent control systems, and smart manufacturing technologies for precision agriculture. His work sits at the intersection of automation engineering and modern farming, with a particular focus on transplanting machinery and plant factory systems. Jin's most influential contribution, "Simulation of hydraulic transplanting robot control system based on fuzzy PID controller" (2020), has garnered an impressive 146 citations, demonstrating the widespread adoption of his ideas within the agricultural engineering community. This work advanced the application of fuzzy logic combined with traditional PID control strategies to improve the precision and reliability of robotic transplanting systems — a critical challenge in large-scale automated crop production. More recently, Jin has embraced cutting-edge digital technologies, as evidenced by his 2023 research on Digital Twin-Based Vibration Monitoring of plant factory transplanting machines. This work addresses the practical problem of bowl seedling detachment caused by machine vibration, proposing innovative physical entity monitoring methods that leverage digital twin frameworks to enhance operational reliability and crop handling quality. Through his evolving research trajectory, Jin has made meaningful contributions to bridging intelligent control theory with real-world agricultural automation challenges, helping to shape the future of smart, efficient plant factory systems.