Prediction of active ingredients in <i>Salvia miltiorrhiza</i> Bunge. based on soil elements and artificial neural network.

Liu, Yu; Wang, Ke; Yan, Zhu-Yun; Shen, Xiaofeng; Yang, Xinjie

Prediction of active ingredients in Salvia miltiorrhiza Bunge. based on soil elements and artificial neural network.

Liu, Yu; Wang, Ke; Yan, Zhu-Yun; Shen, Xiaofeng; Yang, Xinjie.

Afiliação

Liu Y; State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Wang K; State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yan ZY; School of Big Data and Artificial Intelligence, Chengdu Technological University, Chengdu, Sichuan, China.
Shen X; State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yang X; Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing, China.

PeerJ ; 10: e12726, 2022.

Article em En | MEDLINE | ID: mdl-35111394

Assuntos

Salvia miltiorrhiza; Oligoelementos; Solo; Fertilizantes; Raízes de Plantas

Palavras-chave

Active ingredients; Artificial neural network; Salvia miltiorrhiza Bunge.; Soil elements

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligoelementos / Salvia miltiorrhiza Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PeerJ Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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