Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality.

Ma, Dongdong; Wang, Liangju; Zhang, Libo; Song, Zhihang; U Rehman, Tanzeel; Jin, Jian

Ma, Dongdong; Wang, Liangju; Zhang, Libo; Song, Zhihang; U Rehman, Tanzeel; Jin, Jian.

Afiliação

Ma D; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
Wang L; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
Zhang L; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
Song Z; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
U Rehman T; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.
Jin J; Department of Agricultural and Biological Engineering, Purdue University, 225 S. University St., West Lafayette, IN 47907, USA.

Sensors (Basel) ; 20(13)2020 Jun 30.

Article em En | MEDLINE | ID: mdl-32629882

Assuntos

Folhas de Planta; Análise Espectral; Zea mays; Algoritmos; Clorofila/análise; Nitrogênio/análise; Folhas de Planta/química

Palavras-chave

corn leaf; hyperspectral imaging; leaf stress distribution; machine learning algorithms; plant phenotyping

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Espectral / Folhas de Planta / Zea mays Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google