Hyperspectral Analysis for Discriminating Herbicide Site of Action: A Novel Approach for Accelerating Herbicide Research.

Niu, Zhongzhong; Rehman, Tanzeel; Young, Julie; Johnson, William G; Yokoo, Takayuki; Young, Bryan; Jin, Jian

Niu, Zhongzhong; Rehman, Tanzeel; Young, Julie; Johnson, William G; Yokoo, Takayuki; Young, Bryan; Jin, Jian.

Afiliação

Niu Z; Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA.
Rehman T; Department of Biosystems Engineering, Auburn University, Auburn, AL 36849, USA.
Young J; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA.
Johnson WG; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA.
Yokoo T; Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA.
Young B; Health and Crop Sciences Research Laboratory, Sumitomo Chemical Co., Ltd., Takarazuka 665-8555, Hyogo, Japan.
Jin J; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, USA.

Sensors (Basel) ; 23(23)2023 Nov 21.

Article em En | MEDLINE | ID: mdl-38067672

Assuntos

Herbicidas; Humanos; Herbicidas/toxicidade; Imageamento Hiperespectral; Controle de Plantas Daninhas/métodos; Produtos Agrícolas; Resistência a Herbicidas

Palavras-chave

herbicide; hyperspectral imaging; machine learning; partial least squares discriminant analysis (PLS-DA); site of action; support vector machines (SVM)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Herbicidas Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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