Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1177196
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dc.contributor.authorCASTILHO, D.
dc.contributor.authorMADARI, B. E.
dc.contributor.authorCARVALHO, M. da C. S.
dc.contributor.authorFERREIRA, M. E.
dc.date.accessioned2025-07-09T13:19:03Z-
dc.date.available2025-07-09T13:19:03Z-
dc.date.created2025-07-09
dc.date.issued2025
dc.identifier.citationIn: LATIN AMERICAN & CARIBBEAN SOIL CARBON RESEARCH SYMPOSIUM, 2025, Rio de Janeiro. Book of abstracts. Rio de Janeiro, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1177196-
dc.descriptionThis study evaluates the integration of multispectral and texture data from UAV imagery to estimate leaf nitrogen content (LNC) in common bean across different growth stages. Our models were developed using data from a single location over two seasons; thus, broader validation is needed across diverse environmental conditions and cultivars.
dc.language.isoeng
dc.rightsopenAccess
dc.titleOptimizing nitrogen estimates in common bean canopies throughout key growth stages via spectral and textural data from unmanned aerial vehicle (UAV) multispectral imagery.
dc.typeResumo em anais e proceedings
dc.subject.thesagroFeijão
dc.subject.thesagroPhaseolus Vulgaris
dc.subject.thesagroNitrogênio
dc.subject.nalthesaurusSpectral analysis
dc.subject.nalthesaurusMultispectral imagery
dc.subject.nalthesaurusBeans
riaa.ainfo.id1177196
riaa.ainfo.lastupdate2025-07-09
dc.contributor.institutionDIOGO CASTILHO, UNIVERSIDADE FEDERAL DE GOIÁS; BEATA EMOKE MADARI, CNPAF; MARIA DA CONCEICAO SANTANA CARVALHO, CNPAF; MANUEL EDUARDO FERREIRA, UNIVERSIDADE FEDERAL DE GOIÁS.
Appears in Collections:Resumo em anais de congresso (CNPAF)

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