02151naa a2200313 a 450000100080000000500110000800800410001902400490006010000190010924501150012826000090024352012070025265000140145965000120147365000190148565000210150465000150152565000190154065000250155965300100158465300270159465300180162165300080163970000160164770000340166370000190169770000210171677301000173721392522022-01-22       2022    bl uuuu     u00u1 u    #d7 ahttps://dx.doi.org/10.22161/ijaers.91.92DOI1 aANDRADE, R. G.  aUnmanned aircraft for monitoring elephant grass genotypes in energy biomass production.h[electronic resource]  c2022  aElephant 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.  aBioenergy  aGrasses  aRemote sensing  aVegetation index  aBioenergia  aCapim Elefante  aSensoriamento Remoto  aDrone  aÍndice de vegetação  aMonitoramento  aUAV1 aHOTT, M. C.1 aMAGALHAES JUNIOR, W. C. P. de1 aMACHADO, J. C.1 aBORGES, C. A. V.  tInternational Journal of Advanced Engineering Research and Sciencegv. 9, n. 1, p. 70-76, 2022.