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Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

Fu Xuan Wei Su Zhen Chen Xianda Huang Weiguang Zhai Xuecao Li Yelu Zeng Zhi Li Jingsuo Li Jianxi Huang

Plant Phenomics2025，Vol.7Issue(3)：P.60-72,13.

Plant Phenomics2025，Vol.7Issue(3)：P.60-72,13.DOI:10.1016/j.plaphe.2025.100068

Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

Fu Xuan ¹Wei Su ¹Zhen Chen ²Xianda Huang ¹Weiguang Zhai ²Xuecao Li ¹Yelu Zeng ¹Zhi Li ³Jingsuo Li ⁴Jianxi Huang⁵

作者信息

1. College of Land Science and Technology,China Agricultural University,Beijing,100083,China
2. Institute of Farmland Irrigation,Chinese Academy of Agricultural Sciences,Xinxiang,453002,China
3. State Key Laboratory of Crop Stress Adaptation and Improvement,School of Life Sciences,Henan University,Kaifeng,475004,China
4. College of Economics and Management,Qingdao Agricultural University,Qingdao,Shandong,266109,China
5. College of Land Science and Technology,China Agricultural University,Beijing,100083,China Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Sichuan,China
折叠

摘要

关键词

AGB prediction/Stacking ensemble learning/Volume model/SHAP/Multi-source UAV data

分类

农业科技

引用本文复制引用

Fu Xuan,Wei Su,Zhen Chen,Xianda Huang,Weiguang Zhai,Xuecao Li,Yelu Zeng,Zhi Li,Jingsuo Li,Jianxi Huang..Performance of stacking machine learning and volume model for improving corn above ground biomass prediction[J].Plant Phenomics,2025,7(3):P.60-72,13.

基金项目

This study is funded by the National Natural Science Foundation of China under the project(No.42471402) （No.42471402）

Beijing Natural Science Foundation(L251053). （L251053）

Plant Phenomics

ISSN：2097-0374

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