Postdoctoral Researcher | Hunan Agricultural University | China
George Ashwehmbom Looh’s research concentrates on advancing agricultural mechanization through intelligent systems aimed at improving grain processing efficiency and minimizing post-harvest losses. His primary focus is the detection and reduction of grain damage during threshing and handling operations using Artificial Intelligence and Machine Learning algorithms. Looh has conducted optimization experiments to enhance the operational performance of rice threshing equipment, incorporating analytical modeling of mechanical properties of rice grains to determine their influence on breakage and quality deterioration. His studies bridge computational intelligence and mechanical engineering principles to develop predictive systems capable of detecting damage in real time and improving equipment design and functionality. Looh’s work also explores the integration of adaptive technologies in agricultural machinery, such as the automatic adjustment of threshing gaps based on feed rate monitoring in combine harvesters, contributing to the broader field of precision agriculture. His collaborations extend into advanced fault detection in industrial machinery using hybrid transformer models and variational autoencoders, as well as tactile sensor optimization with polymer optical fiber technology. The consistent theme across his research is enhancing mechanical performance, sustainability, and automation in agricultural and mechanical systems. Looh’s scientific contributions, which include several publications in high-impact journals like Materials & Design, Journal of Agricultural Engineering, and Applied Engineering in Agriculture, reflect a strong commitment to innovation in agricultural engineering, mechatronics, and applied data science. His research advances the precision and reliability of agricultural operations, fostering the development of more resilient post-harvest systems and intelligent equipment capable of addressing global challenges in food security and sustainable farming practices.
Featured Publications:
Design and experiment of adaptive adjustment of threshing gaps based on the feed rate monitoring of soybean combine harvester conveyor trough. (2025). Computers and Electronics in Agriculture.