Monitoring of Wheat Powdery Mildew Disease Severity Using Multiangle Hyperspectral Remote Sensing. - Li He; Shuang-Li Qi; Jian-Zhao Duan; Tian-Cai Guo; Wei Feng 013; De-Xian He (IEEE Trans. Geosci. Remote. Sens., 2021)

Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion. - Ziheng Feng; Li Song; Jianzhao Duan; Li He; Yanyan Zhang; Yongkang Wei; Wei Feng 013 (Sensors, 2022)

Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and Machine Learning. - Ziheng Feng; Haiyan Zhang; Jianzhao Duan; Li He; Xinru Yuan; Yuezhi Gao; Wandai Liu; Xiao Li; Wei Feng 013 (Remote. Sens., 2023)

Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning. - Ziheng Feng; Hanwen Guan; Tiancong Yang; Li He; Jianzhao Duan; Li Song; Chenyang Wang; Wei Feng 013 (Comput. Electron. Agric., 2023)

Combining spectrum, thermal, and texture features using machine learning algorithms for wheat nitrogen nutrient index estimation and model transferability analysis. - Shaohua Zhang; Jianzhao Duan; Xinghui Qi; Yuezhi Gao; Li He; Linru Liu; Tian-Cai Guo; Wei Feng 013 (Comput. Electron. Agric., 2024)

Comparison of Attention Mechanism-Based Deep Learning and Transfer Strategies for Wheat Yield Estimation Using Multisource Temporal Drone Imagery. - Shaohua Zhang; Xinghui Qi; Jianzhao Duan; Xinru Yuan; Haiyan Zhang; Wei Feng 013; Tian-Cai Guo; Li He (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones. - Ziheng Feng; Jiaxiang Cai; Ke Wu; Yahui Li; Xinru Yuan; Jianzhao Duan; Li He; Wei Feng 013 (Comput. Electron. Agric., 2025)