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

Xinguo Chen | Precision Agriculture | Best Paper Award

Published on by Plant Scientist

Dr. Xinguo Chen | Precision Agriculture | Best Paper Award

North China University of Water Resources and Electric Power | China

Dr. Xinguo Chen is an Assistant Researcher at the North China University of Water Resources and Electric Power, specializing in agricultural hydrological remote sensing and sustainable water resource management. He earned his Ph.D. in 2021 from Northwest A&F University, where he developed expertise in crop evapotranspiration, drought mechanisms, and climate change impacts on agriculture. With over 23 peer-reviewed publications in SCI and Scopus-indexed journals, his research has been widely recognized, accumulating more than 908 citations and reflected in an h-index of 17. Dr. Chen has successfully led two major research projects, including the National Natural Science Foundation of China Youth Fund and the Open Fund of the State Key Laboratory of Efficient Utilization of Agricultural Water Resources, while also contributing to seven additional national and provincial/ministerial-level projects. His scholarly contributions extend to serving as a reviewer for prestigious journals such as Agricultural Water Management, Remote Sensing, Theoretical and Applied Climatology, and Journal of Environmental Management. He has also authored one book and engaged in industry consultancy projects aimed at improving water use efficiency. Dr. Chen’s research continues to advance agricultural resilience, remote sensing innovation, and water-efficient crop management to support sustainable food security.

Profiles: Scopus | Orcid

Featured Publications

Chen, X., Huang, Y., Liu, M., Ren, D., Li, Y., & Huang, Q. (2025). Improving crop evapotranspiration estimation in the Yellow River Basin: A modified SEBAL model approach and spatiotemporal trend analysis. Agricultural Water Management.

Chen, X., Huang, Q., Xiong, Y., Yang, Q., Li, H., Hou, Z., & Huang, G. (2023). Tracking the spatio-temporal change of the main food crop planting structure in the Yellow River Basin over 2001–2020. Computers and Electronics in Agriculture.

Chen, X., Li, Y., Yao, N., Liu, D. L., Liu, Q., Song, X., Liu, F., Pulatov, B., Meng, Q., & Feng, P. (2022). Projected dry/wet regimes in China using SPEI under four SSP‐RCPs based on statistically downscaled CMIP6 data. International Journal of Climatology.

Brocca, L., Tullo, T., Melone, F., Moramarco, T., & Morbidelli, R. (2012). Catchment scale soil moisture spatial–temporal variability. Journal of Hydrology.

Ceccon, C., Panzacchi, P., Scandellari, F., Prandi, L., Ventura, M., Russo, B., Millard, P., & Tagliavini, M. (2010). Spatial and temporal effects of soil temperature and moisture and the relation to fine root density on root and soil respiration in a mature apple orchard. Plant and Soil.