Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops.

Falcioni, Renan; Antunes, Werner Camargos; Demattê, José Alexandre M; Nanni, Marcos Rafael

Falcioni, Renan; Antunes, Werner Camargos; Demattê, José Alexandre M; Nanni, Marcos Rafael.

Afiliación

Falcioni R; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, PR, Brazil.
Antunes WC; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, PR, Brazil.
Demattê JAM; Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, Piracicaba 13418-260, SP, Brazil.
Nanni MR; Graduate Program in Agronomy, Department of Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, PR, Brazil.

Plants (Basel) ; 12(12)2023 Jun 16.

Article en En | MEDLINE | ID: mdl-37375972

Palabras clave

C3 and C4 plants; PLSR models; digital technologies; high-throughput phenotyping; multivariate tools; pigment quantification; remote sensing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Plants (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

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