China Agricultural University | China
Author Profile
Orcid
🌱 Early Academic Pursuits
Prof. Dr. Wei Wang embarked on an academic journey that laid the foundation for his contributions to engineering and technology. He pursued his highest degree, a Doctorate in Engineering, equipping himself with the expertise to explore spectral imaging technology and its applications in biomedical detection and agricultural product quality assessment. His academic endeavors were instrumental in shaping his research interests in non-destructive testing and intelligent detection technologies.
🔬 Professional Endeavors
Currently a Professor and Doctoral Supervisor at the College of Engineering, China Agricultural University, Prof. Wang has dedicated his career to advancing spectral imaging applications in food safety and biomedical sciences. He has successfully led seven national-level projects and four provincial-level projects, driving technological innovation in non-destructive testing. His leadership extends beyond academia, as he holds key positions in national committees and professional associations, including serving as an Associate Editor for leading international journals such as Journal of the ASABE and Applied Engineering in Agriculture.
📡 Contributions and Research Focus
Prof. Wang’s research spans multiple domains, including non-destructive testing for agricultural products and food safety, spectral imaging in biomedical applications, information and image processing technologies, smart detection technologies and instruments, and robotics, unmanned vehicles, and agricultural automation. His work has significantly contributed to the development of rapid, real-time monitoring technologies for harmful substances in food, improving safety standards across the agricultural sector.
🏆 Accolades and Recognition
Prof. Wang’s excellence has been recognized through numerous awards and honors. He received the Third Prize of the China Cereals and Oils Science and Technology Award in 2018 for advancements in non-destructive food quality testing. He was awarded the Second Prize of the China Society of Particuology Technological Progress Award in 2018 for innovations in nanoparticle measurement technology. His contributions to real-time meat quality detection earned him the First Prize of the Ministry of Agriculture's China Agricultural Science and Technology Award in 2015. The Ministry of Education awarded him the First Prize of the Scientific and Technological Progress Award in 2017 for his contributions to optical detection in fresh agricultural products. He also received the Second Prize of the Beijing Science and Technology Award in 2015 for his research on non-invasive meat quality assessment.
🌍 Impact and Influence
Prof. Wang’s work has transformed food safety standards by introducing rapid, non-destructive quality testing techniques. His research has influenced global agricultural policies and shaped industrial practices in food safety and automation. Additionally, his contributions to international scientific communities, as a reviewer for over 50 SCI journals, have positioned him as a thought leader in agricultural and food engineering.
🔮 Legacy and Future Contributions
With over 100 SCI/EI publications, 14 patents, and four standard-setting contributions, Prof. Wang’s legacy is built on innovation and academic excellence. His ongoing research into hyperspectral imaging and intelligent detection technologies continues to push the boundaries of precision agriculture and biomedical imaging. In the future, his work is expected to play a pivotal role in automation and AI-driven detection systems, ensuring safer food production and enhanced medical diagnostics. Prof. Wei Wang’s dedication to scientific discovery and technological advancement has revolutionized non-destructive testing methods, leaving an indelible mark on food safety, agriculture, and biomedical sciences.
Publications
📄 Development of Multimodal Fusion Technology for Tomato Maturity Assessment
Author(s): Yang Liu, Chaojie Wei, Seung-Chul Yoon, Xinzhi Ni, Wei Wang, Yizhe Liu, Daren Wang, Xiaorong Wang, Xiaohuan Guo
Journal: Sensors
Year: 2024
📄 Recognition and Positioning of Strawberries Based on Improved YOLOv7 and RGB-D Sensing
Author(s): Yuwen Li, Wei Wang, Xiaohuan Guo, Xiaorong Wang, Yizhe Liu, Daren Wang
Journal: Agriculture
Year: 2024
📄 Bioremediation of Aflatoxin B1 by Meyerozyma guilliermondii AF01 in Peanut Meal via Solid-State Fermentation
Author(s): Wan Zhang, Changpo Sun, Wei Wang, Zhongjie Zhang
Journal: Toxins
Year: 2024
📄 Application of Hyperspectral Imaging as a Nondestructive Technology for Identifying Tomato Maturity and Quantitatively Predicting Lycopene Content
Author(s): Chunxia Dai, Jun Sun, Xingyi Huang, Xiaorui Zhang, Xiaoyu Tian, Wei Wang, Jingtao Sun, Yu Luan
Journal: Foods
Year: 2023
📄 Recognition and Positioning of Fresh Tea Buds Using YOLOv4-lighted + ICBAM Model and RGB-D Sensing
Author(s): Shudan Guo, Seung-Chul Yoon, Lei Li, Wei Wang, Hong Zhuang, Chaojie Wei, Yang Liu, Yuwen Li
Journal: Agriculture
Year: 2023