Data/hora: 04/06/2024 04:49:15

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	20/01/2014	
Data da última atualização: 	08/01/2020	
Autoria: 	LARBY, P. A.; EHSANI, R.; SALYANI, M.; MAJA, J. M.; MISHRA, A.; CAMARGO NETO, J.	
Afiliação: 	PETER A. LARBI, University of Florida, Washington State University; REZA EHSANI, University of Florida; MASOUD SALYANI, University of Florida; JOE M. MAJA, University of Florida; ASHISH MISHRA, University of Florida; JOÃO CAMARGO NETO, CNPTIA.	
Título: 	Multispectral-based leaf detection system for spot sprayer application to control citrus psyllids.	
Ano de publicação: 	2013	
Fonte/Imprenta: 	Biosystems Engineering, London, v. 16, n. 4, p. 509-517, Dec. 2013.	
Idioma: 	Inglês	
Conteúdo: 	A leaf detection module was developed for integration with a spot-sprayer system for controlling citrus psyllids. Since psyllids feed only on young citrus leaves, the module was designed to detect young leaves for selective spraying. The module comprised a four-band (570, 670, 750, and 870 nm) active optical sensor, a control box, and a data logger. Commands for operating the sensor and classifying leaves were embedded in a Java program run from a computer. The classification algorithm involved calculating different vegetation indices (using the sensor's spectral reflectance data) and implementing either the Euclidean Distance (ED) or the Matching Measures (MM) classifier.	
Palavras-Chave: 	Leaf detection system; Sistema de deteção.	
Thesaurus Nal: 	Computer software; Psyllidae.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (17750-1) - UPC - AP - DD -  -  -  - DIS