Taifeng Guo

Northwest A&F University, Northwest Institute of Mechanical and Electrical Engineering

Papers

Total Citations

H-Index

About

Dr. Taifeng Guo is a leading researcher in agricultural robotics and precision harvesting, with a focus on intelligent vision systems and mechanical design for tree fruit crops. His work directly addresses the critical challenges of automating the harvest of red jujubes, a crop where effective vibration harvesting depends on precise trunk localization and measurement. Dr. Guo’s major contributions include the development of AGHRNet, an attention-based ghost-HRNet architecture that accurately confirms catch-and-shake locations during jujube vibration harvesting, a paper that has garnered 47 citations since 2023. He also pioneered a trunk diameter measurement method using an improved Pyramid Scene Parsing Network (PSPNet), achieving 19 citations for its role in enabling robotic harvesters to adapt their grip and vibration parameters. Beyond perception, Dr. Guo has advanced the mechanical design of agricultural platforms, using NSGA-III and TOPSIS to optimally design suspension systems for mobile robots operating in uneven field conditions. His work bridges computer vision, deep learning, and mechanical optimization, providing a holistic framework for next-generation harvesting robots. With a growing citation record and a clear trajectory of applied innovation, Dr. Guo is establishing himself as a key figure in the engineering of intelligent, robust agricultural machinery.