Título:	Vegetation indexes in tropical pastures obtained from unmanned aerial vehicle.
Autor:	PEZZOPANE, J. R. M. BRUNETTI, H. B. PASQUINI NETO, R. ROCHA, D. S. da GIGLIO, L. C. BERNARDI, A. C. de C. BUENO, J. O. de A.
Afiliación:	JOSE RICARDO MACEDO PEZZOPANE, CPPSE; HENRIQUE BAUAB BRUNETTI, FUNDAÇÃO ARTHUR BERNARDES; ROLANDO PASQUINI NETO, UNIVERSIDADE DE SÃO PAULO; DANILO SERRA DA ROCHA, CPPSE; LUIZA CAMPOS GIGLIO, UNIVERSIDADE FEDERAL DE SÃO CARLOS; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; JOSÉ OTÁVIO DE ALMEIDA BUENO, UNIVERSIDADE DE SÃO PAULO.
Año:	2025
Referencia:	In: EUROPEAN CONFERENCE ON PRECISION AGRICULTURE, 15, 2025, Barcelona, Spain. Proceedings... Barcelona, Spain: Universitat Politècnica de Catalunya, 2025.
Páginas:	p. 63-64.
Descripción:	Abstract: Among the technologies used for the indirect estimation of forage production traits, remote sensing stands out through reflectance parameters to generate vegetation indices that can be applied as indicators of system productivity (Barnes et al., 2014). This information can support management actions for livestock production systems based on tropical pastures (Pezzopane et al., 2022). Therefore, this study aimed to evaluate the capacity of different vegetation indices derived from images obtained by a multispectral camera mounted on an unmanned aerial vehicle to estimate the production characteristics of tropical forages.
Thesagro:	Pastagem
NAL Thesaurus:	Leaf area index Leaves Forage Forage production Unmanned aerial vehicles Tropical pastures Reflectance
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Appears in Collections:	Artigo em anais de congresso (CPPSE)