Unmanned aircraft for monitoring elephant grass genotypes in energy biomass production.

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dc.contributorRICARDO GUIMARAES ANDRADE, CNPGL; MARCOS CICARINI HOTT, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL; JUAREZ CAMPOLINA MACHADO, CNPGL; CRISTIANO AMANCIO VIEIRA BORGES, CNPGL.
dc.creatorANDRADE, R. G.
dc.creatorHOTT, M. C.
dc.creatorMAGALHAES JUNIOR, W. C. P. de
dc.creatorMACHADO, J. C.
dc.creatorBORGES, C. A. V.
dc.date2022-01-23T01:56:40Z
dc.date2022-01-23T01:56:40Z
dc.date2022-01-22
dc.date2022
dc.date.accessioned2026-07-07T03:47:57Z
dc.descriptionElephant grass is a promising plant for economic and sustainable energy production. However, adapted cultivars and efficient strategies for selecting genotypes aimed at energy biomass production is essential. Remote sensing techniques provide spatiotemporal information from plants in an agile, non-destructive and non-invasive way. The present study aimed to use remote sensors onboard an unmanned aerial vehicle (UAV) to monitor elephant grass genotypes and assist in plant phenotyping for energy biomass production. The experimental plots were imaged in the visible and near infrared bands. Imaging was carried out in 66 experimental plots in the José Henrique Bruschi Experimental Field (CEJHB), located in Coronel Pacheco, MG, Brazil. The experiment was arranged in a randomized block design with three replications, and 22 elephant grass genotypes were evaluated. The aggregated index iMAPNDRE was strongly correlated with the dry matter production observed in the field, therefore a method with potential application for estimating the biomass of elephant grass genotypes. Thus, sensors aboard UAV platforms can assist breeders to select the best elephant grass genotypes for energy production.
dc.identifierInternational Journal of Advanced Engineering Research and Science, v. 9, n. 1, p. 70-76, 2022.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1139252
dc.identifierhttps://dx.doi.org/10.22161/ijaers.91.9
dc.identifier.urihttp://hdl.handle.net/123456789/443157
dc.languageeng
dc.rightsopenAccess
dc.subjectÍndice de vegetação
dc.subjectUAV
dc.subjectDrone
dc.subjectMonitoramento
dc.subjectCapim Elefante
dc.subjectBioenergia
dc.subjectSensoriamento Remoto
dc.subjectGrasses
dc.subjectBioenergy
dc.subjectVegetation index
dc.subjectRemote sensing
dc.titleUnmanned aircraft for monitoring elephant grass genotypes in energy biomass production.
dc.typeArtigo de periódico

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