Título:	Building a hyperspectral library of common bean diseases.
Autoria:	RIBEIRO, W. R. ALMEIDA, A. de S. FERREIRA, A. L. SILVA, R. M. ALVES, T. M. GERALDINE, A. M. SILVA, J. F. A. e PINHEIRO, P. V. LOBO JUNIOR, M.
Afiliação:	WILLIAM RAFAEL RIBEIRO, UNIVERSIDADE FEDERAL DE GOIÁS; ANDRESSA DE SOUZA ALMEIDA, UNIVERSIDADE FEDERAL DE GOIÁS; AMANDA LOPES FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS; ROMULO MOREIRA SILVA, INSTITUTO FEDERAL GOIANO; TAVVS MICAEL ALVES, INSTITUTO FEDERAL GOIANO; ALAERSON MAIA GERALDINE, INSTITUTO FEDERAL GOIANO; JOSE FRANCISCO ARRUDA E SILVA, CNPAF; PATRICIA VALLE PINHEIRO, CNPAF; MURILLO LOBO JUNIOR, CNPAF.
Ano de publicação:	2024
Referência:	In: INTERNATIONAL EPIDEMIOLOGY WORKSHOP, 13., 2024, Foz do Iguaçu. Book of abstracts. Foz do Iguaçu: Sociedade Brasileira de Fitopatologia, 2024.
Páginas:	p. 102.
Conteúdo:	Sensors attached to unmanned aerial vehicles can detect diseased plants before they become symptomatic, according to differences in their reflectance. Despite the advances in hardware and methods for detecting infections with remote sensing, using these tools to scout common bean diseases is still incipient. The objectives of this study were: 1) to evaluate the effectiveness of a hyperspectral sensor in the diagnosis of common bean diseases; 2) verify differences in the spectral signatures in different genotypes with healthy or infected plants; and 3) to investigate if mulch used in no-tillage can influence the spectral signatures.
Thesagro:	Feijão Phaseolus Vulgaris Doença de Planta Tecnologia Sensoriamento Remoto
NAL Thesaurus:	Beans Plant diseases and disorders Hyperspectral imagery
Tipo do material:	Resumo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Resumo em anais de congresso (CNPAF)