Papers
2
Total Citations
9
H-Index
2
About
Yanwei Yuan is an emerging researcher at the intersection of agricultural engineering and intelligent monitoring systems, with a focused specialization in plant factory automation and digital twin technology. Yuan's work addresses critical challenges in controlled-environment agriculture, particularly the operational reliability of transplanting machinery and its direct impact on seedling survival rates and crop yields. Yuan's most notable contributions center on developing innovative digital twin frameworks for real-time vibration monitoring of plant factory transplanting machines. By integrating data-driven methodologies with physical entity monitoring, Yuan's research enables precise evaluation of transplanting quality, offering a sophisticated solution to the persistent problem of bowl seedling detachment caused by mechanical vibration — a challenge with significant economic consequences for plant factory operators. With publications in 2023 accumulating a combined 9 citations in a short timeframe, Yuan demonstrates promising early-career impact in a highly specialized and rapidly growing field. The research bridges precision agriculture, sensor technology, and digital twin simulation, contributing meaningful tools to the advancement of smart, automated plant factories. Students and researchers in agricultural robotics, controlled-environment agriculture, or industrial IoT monitoring will find Yuan's work particularly relevant to next-generation farming system design.
Research Focus
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Top Papers
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