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	Provedor de dados AGRIAMBI (2) Autor Coelho,Anderson P. (2) Dalri,Alexandre B. (2) Faria,Rogério T. de (2) Fischer Filho,João A. (2) Bettiol,João V. T. (1) Gomes,Romário P. (1) Palaretti,Luiz F. (1) Silva,Laércio S. (1) Mais... Palavra-chave Brix (1) Crop model (1) Parameterization (1) Sacharum spp. (1) Sucrose (1) Technological quality (1) Trs (1) Yield (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2020 (1) 2019 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Application of artificial neural networks in the prediction of sugarcane juice Pol AGRIAMBI Coelho,Anderson P.; Bettiol,João V. T.; Dalri,Alexandre B.; Fischer Filho,João A.; Faria,Rogério T. de; Palaretti,Luiz F.. ABSTRACT Innovative techniques that seek to minimize the costs of production and the laboriousness of certain operations are one of the great challenges in the sugar-energy sector nowadays. Thus, the objective of the present study was to estimate the Pol values ​​of sugarcane juice as a function of °Brix and wet cake weight (WCW) using artificial neural network (ANN) modeling. A database was organized consisting of 204 technological analyses from a field experiment with 15 treatments and 2 years of evaluation. 75% of the data were used for the calibration of the model and 25% for its validation. Multilayer Perceptron ANNs were used for calibration and validation of the data. Before calibration, the variables were normalized. The training algorithm used was... Tipo: Info:eu-repo/semantics/article Palavras-chave: Trs; Brix; Sucrose; Technological quality. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000100009 Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements AGRIAMBI Coelho,Anderson P.; Dalri,Alexandre B.; Fischer Filho,João A.; Faria,Rogério T. de; Silva,Laércio S.; Gomes,Romário P.. ABSTRACT Model calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model... Tipo: Info:eu-repo/semantics/article Palavras-chave: Sacharum spp.; Crop model; Parameterization; Yield. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100052 Registros recuperados: 2 Primeira ... 1 ... Última

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