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	Provedor de dados 117 (1) 63 (1) Autor Beauclair,Edgar Gomes Ferreira de (1) Kadri Bozokalfa,M (1) Kilic,Murat (1) Scarpari,Maximiliano Salles (1) Palavra-chave Predicting (2) Climatology (1) Fruit growth (1) Mathematical model (1) Modeling applications (1) Pepper fruit (1) Quality (1) Sucrose (1) Water displacement (1) Mais... Tipo do documento Info:eu-repo/semantics/article (1) Journal article (1) Ano 2010 (1) 2004 (1) País Brazil (1) Chile (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Mathematical Modeling in the Estimation of Pepper (Capsicum annuum L.) Fruit Volume 117 Kadri Bozokalfa,M; Kilic,Murat. Peppers (Capsicum annuum L.) are an important horticultural crop and are used fresh and processed. Fruit size estimation is used to describe the fruit’s growth curve, monitor individual plant growth, predict yield, and conduct physiological studies. Water displacement techniques are used to determine fruit volume, but these are time-consuming and impractical under field conditions. The aim of this study was to devise a mathematical model to analytically determine the non-destructive pepper fruit volume. Fruit volume was described as a dependent variable, while length, weight, and diameter were independent variables in the model which was formulated as Yi = 19.226859 + 0.139562 Xi - 0.256142 Zi + 1.429122 Ti, where Yi = fruit volume (cm³), and Xi, Zi, and... Tipo: Journal article Palavras-chave: Fruit growth; Modeling applications; Pepper fruit; Predicting; Water displacement. Ano: 2010 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000400013 Sugarcane maturity estimation through edaphic-climatic parameters 63 Scarpari,Maximiliano Salles; Beauclair,Edgar Gomes Ferreira de. Sugarcane (Saccharum officinarum L.) grows under different weather conditions directly affecting crop maturation. Raw material quality predicting models are important tools in sugarcane crop management; the goal of these models is to provide productivity estimates during harvesting, increasing the efficiency of strategical and administrative decisions. The objective of this work was developing a model to predict Total Recoverable Sugars (TRS) during harvesting, using data related to production factors such as soil water storage and negative degree-days. The database of a sugar mill for the crop seasons 1999/2000, 2000/2001 and 2001/2002 was analyzed, and statistical models were tested to estimate raw material. The maturity model for a one-year old... Tipo: Info:eu-repo/semantics/article Palavras-chave: Sucrose; Predicting; Quality; Mathematical model; Climatology. Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004 Registros recuperados: 2 Primeira ... 1 ... Última

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