邮箱 jqj713@zju.edu.cn地址 农生环D231研究方向

· 机器学习与大数据驱动下的农林生态建模

· 全球气候变化与农业生态碳氮循环

· 全生命周期评估

· 农田管理智能决策优化

· 农林资源高效可持续利用

 

蒋茜静，浙江大学生物系统工程与食品科学学院特聘副研究员，博士生导师。2018年博士毕业于加拿大麦吉尔大学，2021年入职浙江大学。入选2023年浙江省级人才计划科技青年人才、省科协青年人才托举培养项目，任中国农业工程学会农业系统工程专业委员会常务委员、《Journal of Integrative Agriculture》期刊、《智能化农业装备学报（中英文）》期刊青年编辑委员会委员。获神农奖创新团队奖、教育部科技进步奖、全国农业工程青年教师讲课竞赛特等奖、大北农科技奖创新奖等。主持国家核心技术攻关项目课题、国家自然科学基金面上项目、十四五重点研发计划项目课题/任务、浙江省重点研发项目等多个项目，多次参与加拿大农业食品部农业温室气体减排重大国家项目。

 

 

 

主要通过农业工程、人工智能、经济学、运筹学、环境工程等多学科交叉的方法，从社会、环境、经济等多维度分析评估全球尺度的可持续发展现状与优化管理路径。重点关注温室气体减排、土壤碳汇、水体面源污染和作物生长模拟、全球气候变化对农业生态的影响等方面的研究工作，旨在改善农林生态环境下的温室气体排放情况和耕地的土壤健康，从而为世界农业可持续发展助力。

 

 

 

具体研究内容包括：

 

（1）大数据驱动下的碳氮循环智能模拟及其环境效应评估

 

（2）基于全生命周期评估的农业生产加工碳足迹核算与农业废弃物可持续利用

 

（3）环境经济学与社会科学视角下的农业成本效益分析与可持续生产管理优化。

 

 

 

欢迎农业工程、计算机科学与技术、人工智能、信息工程、环境工程、生态学、金融学、管理科学等专业的同学申请硕博研究生，尤其欢迎具有扎实程序设计基础（包括但不限于Python、R、Matlab、各类机器学习与深度学习算法开发框架等）、拥有农业与生态学建模经验或从事过经济社会大数据分析的同学报考。欢迎本科生毕设、SRTP项目申报的同学交流。

 

论文

 

 

 

2026年

 

Song, W., Liu, S., Li, S., Lou, R., Wu, Q., Qi, Z., Tang, Y., He, Y.,  Jiang, Q.*, 2026. Improving the sustainability of China's wheat production through a life-cycle food-energy-water-carbon nexus framework, Sustainable Production and Consumption, 65, 101-114 (IF5=10.5)

 

Rastgou, M,, He ,Y,, Jiang, Q.*, 2026. An Analytical Comparison of the Performance of Various Sensing Materials and Mechanisms for Efficient Detection Capability of Greenhouse Gas Emissions. Engineering, 56, 317-331 (IF5=13.1)

 

Lou, R., Li, Y.*, Li, Z., Xu, Z., Tang, Y., Jin, X., Xu, J., Li, Y., He, Y., Jiang, Q.*, 2026. Cover crops potentially enhance soil organic carbon sequestration to offset greenhouse gas emissions without yield penalty towards net-zero rice agriculture. Agriculture, Ecosystems & Environment, 399, 110186. (IF5=6.8)

 

Song, W., Jiang, Q.*, He, Y., Ma, B., Tang, Y. and Zhao, J.*, 2026. Crowding-induced physiological stress, not aggression, makes high stocking density more worthy of attention in aquaculture. Aquaculture, 743700. (IF5=4.4)

 

 

 

2025年

 

Liu, S., He, Y., Qi, Z., Liu, Y., Jiang, Q.*, 2025. Tracing the life cycle carbon footprint of staple crops in Belt and Road Initiative countries, Resources, Conservation & Recycling, 108382 (IF5=12.7)

 

Rastgou, M., He, Y., Jiang, Q.*, 2025. A comparison of metaheuristic optimizations with automated hyperparameter tuning methods in support vector machines algorithm for predicting soil water characteristic curve, Engineering Geology (IF5=8.8)

 

Wang, P., Kuzyakov, Y., Wang, Y., Liu, Y., Liu, J., Qi, Z., He, Y. and  Jiang, Q.*, 2025. Quantifying microbial necromass contributions to soil carbon sequestration under diverse cropland management practices: A meta-analysis. Journal of Environmental Management, 388, 126008 (IF5=8.6)

 

Wang, P., Liu, J., Liu, Y., Mo, L., Hu, J., Qi, Z., He, Y., Jiang, Q.*, 2025. Unlocking the potential of microbial necromass for enhancing soil carbon sequestration: A global perspective on cropland management using meta-analysis. Environmental Research, 123008 (IF5=7.7)

 

Wu, Q., Liu, S., Lou, R., Qi, Z., Tang, R., Jiang, Q.*,  He, Y.*, 2025. Data-driven optimization of county-scale straw management for low-carbon and income-enhancing rice production in China. Journal of Environmental Management, 394, 127247 (IF5=8.6)

 

Rastgou, M., Liu, S., Wang, J., Li, Y., Xu, J., He, Y., Jiang, Q.*, 2025. A hybrid approach for optimizing soil greenhouse gas flux predictions: integrating machine learning outputs into hyperparameter-tuned regression trees. Pedosphere (IF5=6.2)

 

Rastgou, M., Jin, X., Jiang, Q.*, Liu, S., Lou, R., Wang, J., Tang, R., He, Y.*, 2025. Optimizing deep neural networks for estimating soil water retention curves: A comparison of metaheuristic and numerical algorithms. Vadose Zone Journal, 24(5), e70035 (IF5=3.0)

 

 

 

2024年

 

Wu, Q., Lou, R., He, Y., Li, Y., Qi, Z., Xu, J., Liu, J., Rastgou M, Jiang, Q.*, 2024. Meta-analysis of GHG emissions stimulated by crop residue return in paddy fields: Strategies for mitigation. Journal of Environmental Management, 370, 122519 (IF5=8.6)

 

Wang, Y., Lou, R., Qi, Z., Madramootoo, C.A., He, Y., Jiang, Q.*, 2024. Optimization strategies for carbon neutrality in a maize-soybean rotation production system from farm to gate. Sustainable Production and Consumption, 50, 302-313 (IF5=10.5)

 

Jiang, Q., Lou, R., Qi, Z.*, Madramootoo, C.A.,Xue, L., Bukovsky, M., He, Y., 2024. Potential contribution of water management practices under intensive crop production to climate-change-associated global warming.  Journal of Cleaner  Production, 470, 143230 (IF5=10.7)

 

Wang, J., Wu, Q., Qi., He, Y., Li, Y.,  Xu, J., Jiang, Q.*,  2024.  Maximizing the carbon sink function of paddy systems in China with machine learning. Science of the Total Environment, 909, 168542 (IF5=8.7)

 

Lou, R., Li , Y.,* Liu, Y., Jiang, Q.*,  Wu, Q., He, Y., Liu, J., 2024. Is green manure a viable substitute for inorganic fertilizer to improve grain yields and advance carbon neutrality in paddy agriculture? Agriculture, Ecosystems and Environment, 359, 108762 (IF5=6.8)

 

Rastgou, M., He, Y., Jiang, Q.*, 2024. Implementation and efficient evaluation of backpropagation network training algorithms in parametric simulations of soil hydraulic conductivity curve, Journal of Hydrology, 636, 131302 (IF5=6.9)

 

 

 

2023年

 

Rastgou, M., He, Y., Wang, J., Bayat, H., Shao, M., Li, Y.*, Jiang, Q.*, 2023. A technical evaluation on the mathematical attitudes and fitting accuracy of soil moisture retention curve models, Computers and Electronics in Agriculture, 215, 2023, 108347  (IF5=9.3)

 

Wu, Q., Wang, J., He, Y., Jiang, Q.*, 2023. 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. Computers and Electronics in Agriculture, 210, 107929 (IF5=9.3)

 

Wu, Q., He, Y., Madramootoo, C.A., Qi, Z., Xue, L., Bukovsky, M., Jiang, Q.*, 2023.  Optimizing strategies to reduce the future carbon footprint of maize under changing climate. Resources, Conservation and Recycling, 188, 106714 (IF5=12.7)

 

 

 

2022年

 

Wu, Q., He, Y., Qi, Z., Jiang, Q.*, 2022.  Drainage in paddy systems maintains rice yield and reduces total greenhouse gas emissions on the global scale. Journal of Cleaner Production, 370, 133515. (IF5=10.7)

 

Jiang, Q., Madramootoo, C.A., Qi, Z.*,  2022. Soil carbon and nitrous oxide dynamics under different nitrogen, tillage and residue management practices. Field Crops Research. 277, 108421 (IF5=6.6)

 

 

 

2021年及之前

 

Jiang, Q., Wang, Y.*, Chen, J., Wang, J., Wei, Z., He, Z. 2021. Optimizing the working performance of a pollination machine for hybrid rice. Computers and Electronics in Agriculture. 187, 106282

 

Jiang, Q., He, Z., Wang, Y.*, Wang, J. 2021. Optimizing the working performance of a boat-type tractor using central composite rotatable design and response surface method. Computers and Electronics in Agriculture. 181(8), 105944

 

Jiang, Q., Cao, M., Wang, Y.*, Wang, J., He, J., 2021. Estimation of Soil Shear Strength Indicators Using Soil Physical Properties of Paddy Soils in the Plastic State. Applied Sciences. 11(12), 5609

 

Jiang, Q., Qi, Z. *, Madramootoo, C.A., Xue, L. and Bukovsky, M. 2020. Assessing climate change impacts on greenhouse gas emissions, N losses in drainage and crop production in a subsurface drained field. Science of the Total Environment, 705, 135969 

 

Jiang, Q., Qi, Z. *, Lu, C., Tan, C., Zhang, T.Q., Prasher, S. 2020. Evaluating RZ-SHAW model for simulating surface runoff and subsurface drainage under regular and controlled drainage with subirrigation in Southern Ontario. Agricultural Water Management. 237, 106179 

 

Jiang, Q., Qi, Z. *, Madramootoo, C.A., Abbasi, N.A., Smith, W., Zhang, T.Q. 2020. Comparison of RZWQM2 and DNDC models to simulate greenhouse gas emissions under combined inorganic/organic fertilization in a subsurface drained field. Transactions of the ASABE. 63(4), 771-787 

 

Jiang, Q., Qi, Z. *, Tang, F., Xue, L. and Bukovsky, M. 2020. Modeling climate change impact on streamflow as affected by snowmelt in Nicolet River Watershed, Quebec. Computers and Electronics in Agriculture. 178, 105756

 

Jiang, Q., Cao, M., Wang, Y.*, Wang, J., He, Z., 2020. Quantification of the soil stiffness constants using physical properties of paddy soils in Yangtze Delta Plain, China. Biosystems Engineering, 200, 89-100 

 

Jiang, Q., Cao, M., Wang, Y.*, Wang, J., 2020. Estimating Soil Penetration Resistance of Paddy Soils in the Plastic State Using Physical Properties. Agronomy, 10, 1914

 

Jiang, Q., Qi, Z.*, Madramootoo, C.A. and Creze, C. 2019. Mitigating greenhouse gas emissions in subsurface-drained field using RZWQM2. Science of the Total Environment, 646, 377-389 

 

Jiang, Q., Qi, Z. *, Madramootoo, C.A. and Singh, A.K., 2018. Simulating hydrologic cycle and crop production in a subsurface drained and sub-irrigated field in Southern Quebec using RZWQM2. Computers and Electronics in Agriculture, 146, 31-42 

 

Li, Z., Qi, Z.*, Jiang, Q., Sima, N., 2020. Economic analysis software for evaluating best management practices to mitigate greenhouse gas emissions from cropland. Agricultural Systems, 186, 102950

 

Kimball*, B.A., Boote, K.J., Hatfield, J.L., Ahuja, L.R., Stockle, C., Archontoulis, S., Baron, C., Basso, B., Bertuzzi P., Constantin, J., Deryng, D., Dumont, B., Durand, J.L., Ewert, F., Gaiser, T., Gayler, S., Hoffmann, M.P., Jiang, Q., Kim, S.H., Lizaso, J., Moulin, S., Nendel, C., Parker, P., Palosuo, T., Priesack, E., Qi, Z., Amit, S., Stella, T., Tao, F., Thorp, K.R., Timlin, D., Twine, T., Webber, H., Willaume, M., Williams, K. 2019. Simulation of Maize Evapotranspiration: An Inter-comparison among 29 Maize Models. Agricultural and Forest Meteorology. 271, 264-284 

 

Mann, S., Qi, Z. *, Prasher, S.O., Li, L., Gui, D, Jiang, Q. 2017. Effect of biochar amendment on soil's retention capacity for estrogenic hormones from poultry manure treatment. Frontiers of Agricultural Science and Engineering 4(2), 208-219.

 

 

 

著作 

 

Jiang, Q., Qi, Z.*, Ma, L., Fang, Q., 2018. Modeling water quality in subsurface drained cropland using the Root Zone Water Quality Model in Bridging Among Disciplines by Synthesizing Soil and Plant Processes. In Wendroth, O., Lascano, R.J. and Ma, L. (Eds). Bridging Among Disciplines by Synthesizing Soil and Plant Processes. SA, CSSA, SSSA, Madison, WI, USA

 

Jiang, Q., He, Y*. (2023). On-Farm Weather and Environmental Data Acquisition. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_73-1

 

主持项目：

 

浙江省2021年“尖兵”研发攻关计划项目——稻田固碳减排技术熟化与场景应用，2022.1-2024.12，主持

 

国家自然科学基金面上项目——稻田水碳氮变化规律与作物生长耦合及模拟研究，2023.1-2026.12，主持

 

国家重点研发计划项目子课题——水稻水分智能诊断模型和精准施肥系统 ，2024.12-2027.11，主持

 

浙江大学基本科研业务费专项——农田管理模式对土壤有机碳的长期影响规律研究，2021.1-2022.12，主持

 

 

 

参与项目：

 

浙江省三农九方项目——浙江省农业领域“碳达峰”“碳中和”实现路径研究，2022.1-2023.12，参与

 

 

 

结题项目：

 

1) An Integrated Socio-economic and Biophysical Framework for Mitigating Greenhouse Gas Emissions under Agricultural Water Management Systems in Eastern Canada，Agriculture and Agri-Food Canada, 2015.1-2021.1，主参，160万加元

 

2) Assessing the integrated agronomic and environmental impacts of GM-HT canola using an agricultural system model，Canadian Council of Canola,  2013，主参

 

3) Integrated modelling approach for identifying efficient and resilient BMPs for diverse cropping systems across Canada，Agriculture and Agri-Food Canada, 2018.1-2018.4，参与

 

4) Prediction of 29 Evapotranspiration and Yields of Maize: An Inter-Comparison among 29 Maize Models，AgMIP (Agricultural Model Inter-Comparison and Improvement Project)，2016-2018，参与

 

原文地址https://person.zju.edu.cn/0020352