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Updated: Feb 12, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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一个基于机器学习的QSAR模型,用于预测商业农药对Eisenia fetida的毒性

Simin Li1, Peiwen Zhang1, Rong Zhou1

  • 1Research Center of Solid Waste Pollution and Prevention, Nanjing Institute of Environmental Science, Ministry of Ecology and Environment, Nanjing 210042, PR China.

Ecotoxicology and environmental safety
|February 10, 2026
PubMed
概括

一个新的机器学习框架使用分子结构,土壤条件和配方类型预测杀虫剂对的毒性. 这种方法提供了一种快速,具有成本效益的方法来评估农药对环境的风险.

关键词:
商用杀虫剂 商用杀虫剂 商用杀虫剂土虫 土虫是一种虫.在ML-QSAR模型中.杀虫剂配方 有关杀虫剂的配方农药性质 农药性质 农药性质土壤的特性 土壤的特性

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