Data/hora: 12/06/2024 04:38:13

Provedor de dados: 	Planta Daninha	
País: 	Brazil	
Título: 	Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture	
Autores: 	Merotto JR.,A.; Bredemeier,C.; Vidal,R.A.; Goulart,I.C.G.R.; Bortoli,E.D.; Anderson,N.L.	
Data: 	2012-06-01	
Ano: 	2012	
Palavras-chave: 	GreenSeekerTM; Interspecific competition; Corn; NDVI; Red/NIR; Soybean.	
Resumo: 	Several tools of precision agriculture have been developed for specific uses. However, this specificity may hinder the implementation of precision agriculture due to an increasing in costs and operational complexity. The use of vegetation index sensors which are traditionally developed for crop fertilization, for site-specific weed management can provide multiple utilizations of these sensors and result in the optimization of precision agriculture. The aim of this study was to evaluate the relationship between reflectance indices of weeds obtained by the GreenSeekerTM sensor and conventional parameters used for weed interference quantification. Two experiments were conducted with soybean and corn by establishing a gradient of weed interference through the use of pre- and post-emergence herbicides. The weed quantification was evaluated by the normalized difference vegetation index (NDVI) and the ratio of red to near infrared (Red/NIR) obtained using the GreenSeekerTM sensor, the visual weed control, the weed dry matter, and digital photographs, which supplied information about the leaf area coverage proportions of weed and straw. The weed leaf coverage obtained using digital photography was highly associated with the NDVI (r = 0.78) and the Red/NIR (r = -0.74). The weed dry matter also positively correlated with the NDVI obtained in 1 m linear (r = 0.66). The results indicated that the GreenSeekerTM sensor originally used for crop fertilization could also be used to obtain reflectance indices in the area between rows of crops to support decision-making programs for weed control.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582012000200024	
Editor: 	Sociedade Brasileira da Ciência das Plantas Daninhas	
Relação: 	10.1590/S0100-83582012000200024	
Formato: 	text/html	
Fonte: 	Planta Daninha  v.30 n.2 2012	
Fonte: 	info:eu-repo/semantics/openAccess