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)

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 (Remote. Sens., 2024)

Enhancing winter wheat plant nitrogen content prediction across different regions: Integration of UAV spectral data and transfer learning strategies. - Zongpeng Li; Qian Cheng; Li Chen; Jie Yang; Weiguang Zhai; Bohan Mao; Yafeng Li; Xinguo Zhou; Zhen Chen (Comput. Electron. Agric., 2025)

Novel spectral indices and transfer learning model in estimat moisture status across winter wheat and summer maize. - Zongpeng Li; Qian Cheng; Li Chen; Weiguang Zhai; Bo Zhang; Bohan Mao; Yafeng Li; Fun Ding; Xinguo Zhou; Zhen Chen (Comput. Electron. Agric., 2025)