Overview
Availability
- Dr Siyi Li is:
- Available for supervision
Qualifications
- Bachelor of Agricultural Engineering, Northeast Agricultural University
- Masters (Research) of Agricultural Engineering, Northwest A&F University (西北农林科技大学)
- Doctor of Philosophy of Agricultural Spatial Analysis and Modelling, University of Technology Sydney
Works
Search Professor Siyi Li’s works on UQ eSpace
2025
Journal Article
Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022
Yao, Shijin, Wang, Bin, Liu, De Li, Li, Siyi, Ruan, Hongyan and Yu, Qiang (2025). Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022. European Journal of Agronomy, 164 127519, 127519. doi: 10.1016/j.eja.2025.127519
2025
Journal Article
Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia
Xiang, Keyu, Wang, Bin, Liu, De Li, Chen, Chao, Ji, Fei, Yang, Yanmin, Li, Siyi, Huang, Mingxia, Huete, Alfredo and Yu, Qiang (2025). Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia. European Journal of Agronomy, 164 127460, 1-13. doi: 10.1016/j.eja.2024.127460
2024
Journal Article
Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?
Li, Siyi, Wang, Bin, Liu, De Li, Chen, Chao, Feng, Puyu, Huang, Mingxia, Wang, Xiaofang, Shi, Lijie, Waters, Cathy, Huete, Alfredo and Yu, Qiang (2024). Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?. European Journal of Agronomy, 153 127030, 1-15. doi: 10.1016/j.eja.2023.127030
2022
Journal Article
Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China
Huang, Mingxia, Wang, Jing, Wang, Bin, Liu, De Li, Feng, Puyu, Yu, Qiang, Pan, Xuebiao, Li, Siyi and Jiang, Tengcong (2022). Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China. Agricultural Systems, 199 103411, 1-9. doi: 10.1016/j.agsy.2022.103411
2022
Journal Article
Developing machine learning models with multi-source environmental data to predict wheat yield in China
Li, Linchao, Wang, Bin, Feng, Puyu, Li Liu, De, He, Qinsi, Zhang, Yajie, Wang, Yakai, Li, Siyi, Lu, Xiaoliang, Yue, Chao, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun and Yu, Qiang (2022). Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture, 194 106790, 1-12. doi: 10.1016/j.compag.2022.106790
2022
Journal Article
Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt
Li, Siyi, Wang, Bin, Feng, Puyu, Liu, De Li, Li, Linchao, Shi, Lijie and Yu, Qiang (2022). Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt. Agricultural Systems, 196 103340, 1-14. doi: 10.1016/j.agsy.2021.103340
2018
Journal Article
Effects of different mulching technologies on evapotranspiration and summer maize growth
Li, Siyi, Li, Yi, Lin, Haixia, Feng, Hao and Dyck, Miles (2018). Effects of different mulching technologies on evapotranspiration and summer maize growth. Agricultural Water Management, 201, 309-318. doi: 10.1016/j.agwat.2017.10.025
Supervision
Availability
- Dr Siyi Li is:
- Available for supervision
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Media
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