Data/hora: 17/05/2024 01:38:08

Biblioteca(s): 	Embrapa Algodão.	
Data corrente: 	18/12/2008	
Data da última atualização: 	18/12/2008	
Autoria: 	CRUZ, E. S.; CARVALHO, D. F.; VARELLA, C. A. A.; SILVA, L. D. B.; SOUZA, W. E. S.; PINTO, F. A. C.	
Título: 	Comparação de classificadores de imagens digitais na determinação da cobertura do solo.	
Ano de publicação: 	2008	
Fonte/Imprenta: 	Engenharia Agrícola, v.28, n.2, p.237-244, abr./jun., 2008.	
Descrição Física: 	Fascículo em CD	
Idioma: 	Português	
Conteúdo: 	In order to compare two image classifiers for soil cover estimation under both clear
sky conditions and sky with clouds, it was evaluated the soil cover by grass and bean crops cultivated in different densities and tillage systems. The experiment was conducted in four soil loss experimental plots of 22.0 m by 3.5 m, in a Red-yellow argil soil. The four treatments consisted of sowing the velvet bean (Mucuna pruriens), sun hemp (Crotalaria juncea) and corn (Zea mays L.), all three following the contour lines, and corn following the slope line. The plot images were acquired from 15 to 85 days after sowing. The soil cover was estimated by off-shelf software (SIARCS) and a proposed algorithm based on green and red bad reflectance (SEROBIN). The highest soil cover was obtained in the sun hemp plot (85.8%), which was also obtained sooner (56 days after sowing). On the other hand, the lowest soil covers were obtained in both corn plots, following the contour lines and the slope line (38.6 and 35.2%, respectively). The overall classification accuracies were 0.96 for SIARCS and 0.92 for SEROBIN. There was no statistical
difference between the classifiers using the Z test at the 5% significance level.	
Palavras-Chave: 	digital image processing; soil cover.	
Thesaurus Nal: 	soil erosion; soil management.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Algodão (CNPA)	
Exemplares: 	CNPA - (21696-1) - ADD - AP - -- - 631.305 -  -  - DIS