Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance. - Shuaipeng Fei; Muhammad Adeel Hassan; Zhonghu He; Zhen Chen; Meiyan Shu; Jiankang Wang; Changchun Li; Yonggui Xiao (Remote. Sens., 2021)

Wheat Ear Recognition Based on RetinaNet and Transfer Learning. - Jingbo Li; Changchun Li; Shuaipeng Fei; Chunyan Ma; Weinan Chen; Fan Ding; Yilin Wang; Yacong Li; Jinjin Shi; Zhen Xiao (Sensors, 2021)

Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images. - Meiyan Shu; Qizhou Wang; Shuaipeng Fei; Xiaohong Yang; Zhu Jinyu; Meng Lei; Baoguo Li; Yuntao Ma (Comput. Electron. Agric., 2022)

Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and Limited Irrigation in Wheat. - Muhammad Adeel Hassan; Shuaipeng Fei; Lei Li; Yirong Jin; Peng Liu; Awais Rasheed; Rabiu Sani Shawai; Liang Zhang; Aimin Ma; Yonggui Xiao; Zhonghu He (Remote. Sens., 2022)

A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat. - Zongpeng Li; Xinguo Zhou; Qian Cheng; Shuaipeng Fei; Zhen Chen (Remote. Sens., 2023)

Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications. - Weiguang Zhai; Changchun Li; Qian Cheng; Bohan Mao; Zongpeng Li; Yafeng Li; Fan Ding; Siqing Qin; Shuaipeng Fei; Zhen Chen (Remote. Sens., 2023)

CatBoost algorithm for estimating maize above-ground biomass using unmanned aerial vehicle-based multi-source sensor data and SPAD values. - Weiguang Zhai; Changchun Li; Shuaipeng Fei; Yanghua Liu; Fan Ding; Qian Cheng; Zhen Chen (Comput. Electron. Agric., 2023)

Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography. - Shuaipeng Fei; Shunfu Xiao; Qing Li; Meiyan Shu; Weiguang Zhai; Yonggui Xiao; Zhen Chen; Helong Yu; Yuntao Ma (Comput. Electron. Agric., 2023)

Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance. - Shuaipeng Fei; Shunfu Xiao; Demin Xu; Meiyan Shu; Hong Sun; Puyu Feng; Yonggui Xiao; Yuntao Ma (Comput. Electron. Agric., 2024)

Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing. - Shuaipeng Fei; Shunfu Xiao; Jinyu Zhu; Yonggui Xiao; Yuntao Ma (Comput. Electron. Agric., 2024)

Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning. - Guangyao Sun; Yong Zhang; Lei Wang; Longyu Zhou; Shuaipeng Fei; Shiteng Han; Shunfu Xiao; Yingpu Che; Long Yan; Yun Xu; Yinghui Li; Lijuan Qiu; et al. (Comput. Electron. Agric., 2025)