Published on 06/10/2025 by Popular Scientist 62 / 100 Powered by Rank Math SEO SEO Score Dr. Huaiqu Feng | Robot | Best Researcher Award Zhejiang University | China Huaiqu Feng is an accomplished researcher and engineer from China with a strong academic background in agricultural mechanization engineering and automation. He completed his undergraduate studies in Automation at Hubei Normal University, where he built a solid foundation in control theory, intelligent systems, signal processing, and electronics. He then pursued a master’s degree in Agricultural Mechanization Engineering at Northeast Agricultural University, focusing on areas such as image processing, deep learning, computer vision, and advanced agricultural mechanics. His research interests center on the integration of intelligent control systems and machine vision technologies to improve agricultural equipment and automation. He has contributed to several scientific papers submitted to international SCI-indexed journals, addressing topics such as deep learning-based corn kernel selection and targeted pesticide spraying platforms. His research output includes 20 documents with 431 citations by 376 documents, reflecting his growing impact in the scientific community. His innovative work is also demonstrated through multiple patents for agricultural machinery and software copyrights related to neural network-based prediction and measurement systems. He has received various scholarships and awards for academic excellence and innovation, including recognition in national competitions such as the “Blue Bridge Cup” and the “Huawei Cup.” Beyond his technical achievements, he has demonstrated leadership through active involvement in student organizations, academic committees, and innovation programs, leading teams in robotics and intelligent control system design. His multidisciplinary expertise bridges automation, machine learning, and agricultural engineering, contributing to the advancement of smart farming technologies. Profile: Scopus Featured Publications Feng, Huaiqu (2025). TD-CFD-DPM coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production. Smart Agricultural Technology. Feng, Huaiqu (2025). nUGV-1UAV robot swarms: Low-altitude remote sensing-based decentralized planning framework in-field environments. ISPRS Journal of Photogrammetry and Remote Sensing. Huaiqu Feng | Robot | Best Researcher Award
Huaiqu Feng is an accomplished researcher and engineer from China with a strong academic background in agricultural mechanization engineering and automation. He completed his undergraduate studies in Automation at Hubei Normal University, where he built a solid foundation in control theory, intelligent systems, signal processing, and electronics. He then pursued a master’s degree in Agricultural Mechanization Engineering at Northeast Agricultural University, focusing on areas such as image processing, deep learning, computer vision, and advanced agricultural mechanics. His research interests center on the integration of intelligent control systems and machine vision technologies to improve agricultural equipment and automation. He has contributed to several scientific papers submitted to international SCI-indexed journals, addressing topics such as deep learning-based corn kernel selection and targeted pesticide spraying platforms. His research output includes 20 documents with 431 citations by 376 documents, reflecting his growing impact in the scientific community. His innovative work is also demonstrated through multiple patents for agricultural machinery and software copyrights related to neural network-based prediction and measurement systems. He has received various scholarships and awards for academic excellence and innovation, including recognition in national competitions such as the “Blue Bridge Cup” and the “Huawei Cup.” Beyond his technical achievements, he has demonstrated leadership through active involvement in student organizations, academic committees, and innovation programs, leading teams in robotics and intelligent control system design. His multidisciplinary expertise bridges automation, machine learning, and agricultural engineering, contributing to the advancement of smart farming technologies. Profile: Scopus Featured Publications Feng, Huaiqu (2025). TD-CFD-DPM coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production. Smart Agricultural Technology. Feng, Huaiqu (2025). nUGV-1UAV robot swarms: Low-altitude remote sensing-based decentralized planning framework in-field environments. ISPRS Journal of Photogrammetry and Remote Sensing.