San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

Published on by Plant Scientist

Ms. San Nyunt Nan | Sustainable Agriculture | Research Excellence Award

National Taiwan University | Taiwan

Nan San Nyunt is an agricultural professional from a farming community with a strong focus on climate-smart agriculture, crop modeling, and sustainable farming practices. She earned her M.Sc. in Global Agriculture Technology and Genomic Science from National Taiwan University, where she conducted research on climate change risk assessment and adaptation strategies for potato production in Myanmar using the DSSAT model. Her bachelor’s degree in Agricultural Science from Yezin Agricultural University involved experimental work on controlling root-knot nematodes in tomato crops. Nan has extensive experience working with NGOs and international organizations, leading farmer-centered initiatives, capacity-building programs, and agricultural innovation projects. She co-founded Taungthutada (TTTD), managing projects aimed at food security, women’s empowerment in agribusiness, and improving access to innovative agricultural services. Her roles include research assistant and teaching assistant at National Taiwan University, where she focuses on crop modeling, crop rotation simulations, and research manuscript preparation. She has presented her work at international conferences and published research on the impacts of climate change on potato production. Nan’s interests include crop modeling, agronomic research, climate adaptation strategies, and sustainable agricultural value chains. She has been recognized with the NTU-SEARCA Joint Scholarship for her academic and research excellence. Nan continues to bridge research and practice to advance climate-resilient agriculture.

Profile : Orcid

Featured Publication

Wenbin Zhang | Precision Agriculture | Research Excellence Award

Published on by Plant Scientist

Prof. Dr. Wenbin Zhang | Precision Agriculture | Research Excellence Award

Kunming University | China

Professor Wenbin Zhang, Ph.D., is a distinguished academic in mechanical and electrical engineering at Kunming University, serving as a full professor and master’s adviser in the Department of Intelligent Manufacturing Engineering. Over nearly fifteen years of teaching, he has developed and authored laboratory guidebooks for measurement technology, PLC application, and mechanical innovation design. His research focuses on condition monitoring, intelligent fault diagnosis, signal processing, and innovation in mechanical design. He leads a major project funded by the National Natural Science Foundation of China, as well as a provincial innovation-team initiative, and has built a key laboratory and research team at his university. He has published over 100 papers, with more than 50 in EI or SCI-indexed journals, and holds over 100 national patents. According to his Google Scholar profile, he has an h-index of 11, 394 citations, and 82 Documentation, highlighting his strong research influence. Through his integrated excellence in teaching, research, and innovation, Dr. Zhang is recognized as a technological leader in Yunnan Province and is part of the “Yunnan 10,000 Talents Program.”

Profile: Scopus

Featured Publications

Zhang, W., Wang, Y., Tan, Y., Guo, D., & Pu, Y. (Year not provided). Application of adaptive local iterative filtering and permutation entropy in gear fault recognition. Mathematical Problems in Engineering.

Zhang, W., Min, J., Wang, Y., Pu, Y., Jiang, J., Guo, D., & Yu, L. (2022). Application of adaptive local iterative filtering in axis trace purification of turbine generator rotor. Journal of Mechanical Science and Technology.

Cui, B., Guo, P., & Zhang, W. (2023). Research on fault diagnosis of rolling bearing based on the MCKD-SSD-TEO with optimal parameters. Journal of Mechanical Science and Technology.

Guo, P., Cui, B., & Zhang, W. (2024). Cross-device target migration intelligent diagnosis method of wind power gearbox faults. Measurement Science and Technology

Zhao, C., Yin, Z., Zhang, W., Guo, P., & Ma, Y. (2024). Identification of apple watercore based on ConvNeXt and Vis/NIR spectra. Infrared Physics and Technology,