Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance. - Shuaipeng Fei; Muhammad Adeel Hassan; Zhonghu He; Zhen Chen 023; Meiyan Shu; Jiankang Wang; Changchun Li; Yonggui Xiao (Remote. Sens., 2021)

Exploring Multisource Feature Fusion and Stacking Ensemble Learning for Accurate Estimation of Maize Chlorophyll Content Using Unmanned Aerial Vehicle Remote Sensing. - Weiguang Zhai; Changchun Li; Qian Cheng; Fan Ding; Zhen Chen 023 (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 023 (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 023 (Comput. Electron. Agric., 2023)

Use Self-Training Random Forest for Predicting Winter Wheat Yield. - Yulin Shen; Benoît Mercatoris; Qingzhi Liu; Hongxun Yao; Zongpeng Li; Zhen Chen 023; Wensheng Wang (Remote. Sens., 2024)

Predicting Winter Wheat Yield with Dual-Year Spectral Fusion, Bayesian Wisdom, and Cross-Environmental Validation. - Zongpeng Li; Qian Cheng; Li Chen; Bo Zhang; Shuzhe Guo; Xinguo Zhou; Zhen Chen 023 (Remote. Sens., 2024)

Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms. - Yafeng Li; Changchun Li; Qian Cheng; Fuyi Duan; Weiguang Zhai; Zongpeng Li; Bohan Mao; Fan Ding; Xiaohui Kuang; Zhen Chen 023 (Remote. Sens., 2024)