Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1110823
Research center of Embrapa/Collection: Embrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)
Date Issued: 2019
Type of Material: Artigo em periódico indexado (ALICE)
Authors: ROCHA, M. G. da
BARROS, F. M. M. de
OLIVEIRA, S. R. de M.
AMARAL, L. R. do
Additional Information: MURILLO GRESPAN DA ROCHA, Feagri/Unicamp; FLÁVIO MARGARITO MARTINS DE BARROS, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUCAS RIOS DO AMARAL, Feagri/Unicamp.
Title: Biometric characteristics and canopy reflectance association for early-stage sugarcane.
Publisher: Scientia Agricola, v. 76, n. 4, p. 274-280, July/Aug. 2019
Language: en
Keywords: Floresta aleatória
Índice de vegetação
Mineração de dados
Precision farming
Random forest
Vegetation indices
Data mining
Canopy sensor
Description: ABSTRACT: 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.
Thesagro: Biomassa
Cana de Açúcar
Agricultura de Precisão
NAL Thesaurus: Biomass
Sugarcane
Precision agriculture
Vegetation index
Data Created: 2019-07-24
Appears in Collections:Artigo em periódico indexado (CNPTIA)

Files in This Item:
File Description SizeFormat 
APBiometriccharacteristics.pdf1.1 MBAdobe PDFThumbnail
View/Open

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace