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Updated: Jun 15, 2025

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预测Cd在作物中的积累,并根据机器学习模型识别多种环境因素的非线性影响

Xiaosong Lu1, Li Sun1, Ya Zhang1

  • 1State Environmental Protection Key Laboratory of Soil Environmental Management and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.

The Science of the total environment
|August 26, 2024
PubMed
概括

与传统方法相比,机器学习模型显著提高了大米和小麦谷物中 (Cd) 含量的预测. 基于树木的集合模型,如XGboost和随机森林,在考虑各种环境因素时,在预测谷物Cd方面显示出最高的准确性.

关键词:
在作物中积累Cd.遗传算法 遗传算法 遗传算法机器学习 机器学习多重的环境因素.非线性效应是一种非线性效应.

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