Wu, Qingguan
Member Profile
School of Integrative Plant Science
Cornell University
110 Arboretum Rd
Ithaca, NY 14853
Email: 12113026@zju.edu.cn
EDUCATION
Sept. 2021 – Present: Ph.D Candidate in Agricultural Electrification and Automation, College of Biosystems Engineering and Food Science, Zhejiang University
Sept. 2018 – Jul. 2021: Master of Engineering in Electronic Information Technology and Instruments, College of Biomedical Engineering & Instrument Science, Zhejiang University
Sept. 2014 – Jul. 2018: Bachelor of Engineering in Measurement and Control Technology and Instruments, College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou
RESEARCH INVOLVEMENTS
Jan. 2022–Present: Maturation and scenario application of carbon sequestration and emission reduction technology in paddy fields
-Evaluate the effects of drainage on greenhouse gas emissions and yield in rice systems
-Establish the machine learning models to predict greenhouse gas emissions, carbon sequestration capacity, and yield in rice systems under different scenarios
-Develop the carbon footprint assessment model for rice in China
Jan. 2022–Dec. 2023: Research on pathways for carbon peak and neutrality goals in agriculture of Zhejiang Province
-Incorporate future climate modes to analyze the impact of climate change on low-carbon rice production
-Quantify carbon emission reduction benefits of various technology options
-Decision making under multiple pathways
RESEARCH INTERESTS
Prediction and detection of greenhouse gas emissions in agriculture
Carbon footprint assessment models
Low-carbon production technologies in agriculture
Carbon neutrality policies
PUBLICATIONS
1. Wu Q., He Y., Qi Z., Jiang Q. Drainage in paddy systems maintains rice yield and reduces total greenhouse gas emissions on the global scale. 2022. Journal of Cleaner Production, 370, 133515
2. Wu Q., He Y., Madramootoo C., Qi Z., Xue L., Bukovsky M., Jiang Q. Optimizing strategies to reduce the future carbon footprint of maize under changing climate. 2023. Resources, Conservation & Recycling, 188, 10674
3. Wu Q., Wang J., He Y., Liu Y., Jiang Q. Quantitative assessment and mitigation strategies of greenhouse gas emissions from rice fields in China: A data-driven approach based on machine learning and statistical modeling. 2023. Computers and Electronics in Agriculture, 210, 107929
4. Wang J., Wu Q., He Y., Li Y., Xu J., Jiang Q. Maximizing the carbon sink function of paddy systems in China with machine learning. 2024. Science of the Total Environment, 909, 168542
