Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1181174
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorPEZZOPANE, J. R. M.
dc.contributor.authorBRUNETTI, H. B.
dc.contributor.authorPASQUINI NETO, R.
dc.contributor.authorROCHA, D. S. da
dc.contributor.authorGIGLIO, L. C.
dc.contributor.authorBERNARDI, A. C. de C.
dc.contributor.authorBUENO, J. O. de A.
dc.date.accessioned2025-11-05T19:49:23Z-
dc.date.available2025-11-05T19:49:23Z-
dc.date.created2025-11-05
dc.date.issued2025
dc.identifier.citationIn: EUROPEAN CONFERENCE ON PRECISION AGRICULTURE, 15, 2025, Barcelona, Spain. Proceedings... Barcelona, Spain: Universitat Politècnica de Catalunya, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1181174-
dc.descriptionAbstract: 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.
dc.language.isoeng
dc.rightsopenAccess
dc.titleVegetation indexes in tropical pastures obtained from unmanned aerial vehicle.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroPastagem
dc.subject.nalthesaurusLeaf area index
dc.subject.nalthesaurusLeaves
dc.subject.nalthesaurusForage
dc.subject.nalthesaurusForage production
dc.subject.nalthesaurusUnmanned aerial vehicles
dc.subject.nalthesaurusTropical pastures
dc.subject.nalthesaurusReflectance
dc.format.extent2p. 63-64.
riaa.ainfo.id1181174
riaa.ainfo.lastupdate2025-11-05
dc.contributor.institutionJOSE 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.
Aparece nas coleções:Artigo em anais de congresso (CPPSE)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
2025-cppse-artigo-anais-jrmp-vegetation-indexes-tropical-pastures-obtained-unmanned-aerial-vehicle-p-63-64.pdf1,11 MBAdobe PDFThumbnail
Visualizar/Abrir

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace