Biometric characteristics and canopy reflectance association for early-stage sugarcane.

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dc.contributorMURILLO GRESPAN DA ROCHA, Feagri/Unicamp; FLÁVIO MARGARITO MARTINS DE BARROS, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUCAS RIOS DO AMARAL, Feagri/Unicamp.
dc.creatorROCHA, M. G. da
dc.creatorBARROS, F. M. M. de
dc.creatorOLIVEIRA, S. R. de M.
dc.creatorAMARAL, L. R. do
dc.date2019-07-25T01:02:19Z
dc.date2019-07-25T01:02:19Z
dc.date2019-07-24
dc.date2019
dc.date2019-10-02T11:11:11Z
dc.date.accessioned2026-07-07T04:15:54Z
dc.descriptionABSTRACT: Knowing the spatial variability of sugarcane biomass in the early stages of development may help growers in their management decision-making. Proximal canopy sensing is a promising technology that can identify this variability but is limited to quantifying plant-specific parameters. In this study, we evaluated whether biometric variables integrated with canopy reflectance data can assist in the generation of models for early-stage sugarcane biomass prediction. To substantiate this assertion, four sugarcane-producing fields were measured with an active crop canopy sensor and 30 sampling plots were selected for manually quantifying chlorophyll content, plant height, stalk number and aboveground biomass. We determined that Random Forest and Multiple Linear Regression models are similarly able to predict biomass, and that associating biometric variables such as number of stalks and plant height with reflectance data can assist model performance, depending on the attributes selected. This indicates that, when estimating biomass in the early stages, sugarcane growers can carry out site-specific management in order to increase yield and reduce the use of inputs.
dc.identifierScientia Agricola, v. 76, n. 4, p. 274-280, July/Aug. 2019
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1110823
dc.identifierhttp://dx.doi.org/10.1590/1678-992X-2017-0301
dc.identifier.urihttp://hdl.handle.net/123456789/455916
dc.languageeng
dc.rightsopenAccess
dc.subjectFloresta aleatória
dc.subjectÍndice de vegetação
dc.subjectMineração de dados
dc.subjectPrecision farming
dc.subjectRandom forest
dc.subjectVegetation indices
dc.subjectData mining
dc.subjectCanopy sensor
dc.subjectBiomassa
dc.subjectCana de Açúcar
dc.subjectAgricultura de Precisão
dc.subjectBiomass
dc.subjectSugarcane
dc.subjectPrecision agriculture
dc.subjectVegetation index
dc.titleBiometric characteristics and canopy reflectance association for early-stage sugarcane.
dc.typeArtigo de periódico

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