Wei Wang | Agricultural and Biological Sciences | Best Researcher Award

Posted on by Book of Award

Prof. Dr. Wei Wang | Agricultural and Biological Sciences | Best Researcher Award

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

 

Hongfei Yang | Engineering | Best Researcher Award

Posted on by Book of Award

Assoc Prof Dr. Hongfei Yang | Engineering | Best Researcher Award

Shihezi University | China

Author Profile

Scopus

Orcid

🌱 Early Academic Pursuits

Dr. Hongfei Yang’s academic journey is marked by an impressive foundation in engineering and scientific disciplines. He earned his Bachelor's degree in Mechanical Design, Manufacturing, and Automation from Dalian University in 2016. Following this, he pursued his Master’s in Mechanical Design and Theory at Jilin University, complemented by a joint training program at Cambridge University. These early years laid a solid groundwork in mechanical design, equipping him with a unique blend of theoretical knowledge and practical skills.

💼 Professional Endeavors

Currently an Associate Professor in Electronic Information Engineering at Shihezi University, Dr. Yang has dedicated his career to advancing precision engineering and measurement technology. His experience includes a rigorous doctoral program in Testing and Measurement Technology at Jilin University, where he focused on developing innovative solutions in instrument technology. Dr. Yang's professional path reflects his commitment to impactful research and teaching in electronic and mechanical engineering fields.

📚 Contributions and Research Focus

Dr. Yang’s research is distinguished by its focus on magnetic sensing and machine vision, especially in applications for unstructured environments and deep-earth observations. As the first author of 11 academic papers with a cumulative impact factor of 59.4, he has made substantial contributions to journals like IEEE Transactions on Geoscience and Remote Sensing and IEEE Sensors Journal. His work addresses pressing challenges in instrument measurement, such as developing methods for identifying rail defects and creating robust magnetic sensing systems. His expertise extends to multiple patents, demonstrating practical solutions for applications ranging from long-term monitoring in extreme environments to automated mushroom collection devices.

🏆 Accolades and Recognition

Dr. Yang’s contributions have been recognized with numerous honors. Among them are the prestigious National Scholarship for Doctoral Students in China, awarded by the Ministry of Education, and Jilin University's First-Class Doctoral Excellence Scholarship. His scholarly achievements and dedication have earned him the title of "Outstanding Graduate" and the Geological Instrument Scholarship from Jilin University. These accolades reflect his exceptional research performance and his ongoing impact in his field.

🌍 Impact and Influence

Dr. Yang’s influence extends beyond academia, as he actively participates in shaping engineering knowledge as a reviewer for top journals like IEEE Transactions on Instrumentation and Measurement. His work on projects, such as the National Natural Science Foundation of China project on environmental recognition for engineering vehicles, has pushed the boundaries of how advanced data processing can improve machine vision in complex environments. His contributions to deep borehole observation technology are advancing our understanding of deep-earth environments, with applications in various scientific and industrial domains.

🏅 Legacy and Future Contributions

Dr. Yang’s career represents a blend of innovation, interdisciplinary expertise, and real-world applications. His research in precision engineering, machine vision, and magnetic sensing continues to inspire advancements in technology and scientific exploration. His legacy lies in both his published works and his commitment to teaching, mentoring, and advancing engineering research. Looking forward, Dr. Yang is set to further enrich the field of electronic information engineering, leaving an enduring impact on the next generation of scientists and engineers.

 

Publications

📝 SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Journal: Agriculture
Year: 2024

📝 Neural Network-Based 3D Point Cloud Detection of Targets in Unstructured Environments

Authors: D. Wang, H. Yang, Z. Yao, Z. Chang, Y. Wang
Journal: Advances in Mechanical Engineering
Year: 2024

📝 MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Authors: D. Bai, L. Cheng, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024

📝 Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

Authors: D. Bai, Y. Zhou, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2024

📝 EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

Authors: J. Hu, H. Yang, J. He, D. Bai, H. Chen
Journal: IEEE Access
Year: 2024

 

Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Posted on by Book of Award

Ms. Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Kunming University of Science and Technology | China

Author profile

Scopus

Early Academic Pursuits 📚

Ms. Ruoxi Wang embarked on her academic journey with a keen interest in the intersection of technology and agriculture. Currently pursuing a master's degree at the College of Modern Agricultural Engineering, Kunming University of Science and Technology, her studies focus on agricultural informatization. With a foundation in agricultural engineering, she quickly identified the potential of digital tools to transform agricultural practices, particularly in the areas of computer vision and image processing.

Professional Endeavors 🚀

Ruoxi has developed expertise in cutting-edge technologies such as image classification and segmentation, applying them to real-world agricultural challenges. Her research explores innovative methods for enhancing agricultural systems through advanced computing, aiming to boost productivity and efficiency in agricultural practices. As a scholar, she has been at the forefront of integrating digital solutions into the agricultural sector, reflecting her commitment to the future of smart farming.

Contributions and Research Focus 🖥️🌾

Ruoxi's research has already borne fruit, with two significant publications as the first author: one in the prestigious journal Agronomy and another presented at the 12th International Conference on Information Systems and Computing Technology. Her work centers around harnessing the power of computer vision and image processing to optimize agricultural operations, positioning her as a rising voice in the realm of agricultural informatization. Through her contributions, she seeks to bridge the gap between technology and sustainable agriculture.

Accolades and Recognition 🏅

Despite being early in her academic career, Ruoxi's contributions have already been acknowledged through her peer-reviewed publications. The recognition she has garnered within the research community highlights her potential to influence the field of agricultural informatization. Her achievements reflect both her dedication and the growing importance of her research focus.

Impact and Influence 🌍

Ms. Wang’s innovative work is paving the way for more efficient agricultural practices globally. By utilizing computer vision and image processing techniques, she is helping to streamline processes such as crop monitoring and analysis. Her research not only has academic value but also holds immense practical implications, positioning her as a future leader in agricultural technology.

Legacy and Future Contributions 🌟

Looking ahead, Ruoxi is poised to make even more impactful contributions to agricultural engineering and technology. Her ongoing research promises to push the boundaries of agricultural informatization, and her dedication to advancing the field will undoubtedly leave a lasting legacy. As she continues to explore and innovate, her work will shape the future of smart farming, potentially revolutionizing how technology is integrated into agricultural practices worldwide.

 

Publications

📄Deep learning implementation of image segmentation in agricultural applications: a comprehensive review
Authors: Lei, L., Yang, Q., Yang, L., Wang, R., Fu, C.
Journal: Artificial Intelligence Review
Year: 2024

📄Improved Deeplabv3+ Method for the Panax Notoginseng Disease Segmentation
Authors: Lei, L., Wang, Z., Wang, R., Yang, Q., Yang, L.
Conference: Proceedings of the 2023 11th International Conference on Information Systems and Computing Technology (ISCTech 2023)
Year: 2023