Data/hora: 11/06/2024 09:27:44

Provedor de dados: | 70
País: | Brazil
Título: | White mold detection in common beans through leaf reflectance spectroscopy
Autores: | Machado,Marley L.; Pinto,Francisco de A. C.; Paula Junior,Trazilbo J. de; Queiroz,Daniel M. de; Cerqueira,Ozires de A. T.
Data: | 2015-12-01
Ano: | 2015
Palavras-chave: | Sclerotinia sclerotiorum; PLS regression; Pigments; Spectrum; Absorption.
Resumo: | ABSTRACT This study aimed to identify wavelengths based on leaf reflectance (400-1050 nm) to estimate white mold severity in common beans at different seasons. Two experiments were carried out, one during fall and another in winter. Partial Least Squares (PLS) regression was used to establish a set of wavelengths that better estimates the disease severity at a specific date. Therefore, observations were previously divided in two sub-groups. The first one (calibration) was used for model building and the second subgroup for model testing. Error measurements and correlation between measured and predicted values of disease severity index were employed to provide the best wavelengths in both seasons. The average indexes of each experiment were of 5.8% and 7.4%, which is considered low. Spectral bands ranged between blue and green, green and red, and red and infrared, being most sensitive for disease estimation. Beyond the transition ranges, other spectral regions also presented wavelengths with potential to determine the disease severity, such as red, green, and near infrared.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000601117
Editor: | Associação Brasileira de Engenharia Agrícola
Relação: | 10.1590/1809-4430-Eng.Agric.v35n6p1117-1126/2015
Formato: | text/html
Fonte: | Engenharia Agrícola  v.35 n.6 2015
Fonte: | info:eu-repo/semantics/openAccess