Dashuai Wang

Chinese Academy of Sciences, Southern University of Science and Technology

Papers

Total Citations

269

H-Index

About

Dashuai Wang is a leading researcher at the intersection of artificial intelligence, precision agriculture, and assistive robotics. His primary research areas include deep learning for agricultural sensing, unmanned aerial vehicle (UAV) applications in farming, and intelligent exoskeleton systems for human augmentation. Wang’s most impactful contribution is his comprehensive review of deep learning in multiscale agricultural sensing, which has garnered over 230 citations. This seminal work addresses the pressing global challenges of population growth, climate change, and pandemic-induced food security pressures by exploring how AI can optimize crop yields while promoting sustainable farming practices. His subsequent survey on UAVs and deep learning in precision agriculture further cements his influence in the field. Wang has also made notable strides in biomechatronics, developing a loading recognition system for lumbar exoskeletons using multi-channel surface electromyography. This innovation enhances assistive robotics by enabling real-time adjustment of support forces based on muscle activity, reducing injury risk during heavy lifting. Through his diverse portfolio, Wang demonstrates a commitment to solving real-world problems—from feeding a growing population to protecting workers’ health—making his work highly relevant for students and researchers in AI, robotics, and sustainable agriculture.