农业环境科学学报2023，Vol.42Issue(10)：2165-2174,10.DOI:10.11654/jaes.2023-0261
基于机器学习识别中微量元素与我国七大片区产地稻米镉、砷的富集规律
Enrichment patterns of cadmium and arsenic in rice from seven major regions in China based on machine learning recognition of minor and trace elements
摘要
关键词
镉/砷/决策树/随机森林/生物有效性模型Key words
cadmium/arsenic/decision tree algorithm/random forest/bioavailability model分类
资源环境引用本文复制引用
牟力言,刘春湘,陈敏,秦莉,林大松,Batsaikhan Bayartungalag..基于机器学习识别中微量元素与我国七大片区产地稻米镉、砷的富集规律[J].农业环境科学学报,2023,42(10):2165-2174,10.基金项目
"一带一路"创新人才交流外国专家项目(DL2022051004L) "The Belt and Road"Innovative Talent Exchange Foreign Experts Project(DL2022051004L) （DL2022051004L）
