Numerical And Regression Models For The Leaf Area Of Tomato Seedlings
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Y. Villacampa, J. F. Navarro-González, J. A. Reyes & P. Sastre-Vázquez
The determination of the leaf area of plants is important in studies related to their growth and development because in the leaves are synthesized the carbohydrates that will be distributed to the other organs of the plant. In this paper, the authors want to apply new modeling methodologies and compare them with the usual techniques to obtain information of the leaf area considering the explanatory variables length and width and the effect of the container size variable. The first objective is to determine regression and numerical models, and their comparison to the estimate of the leaves of tomato seedlings (Solanum lycopersicum L.), using as explanatory variables the maximum length and width of the sheet. For linear regression models it has identified four types of models: a) a regression model in the variable length b) a regression model in the variable width c) a regression model across the variable and d) a model regression in the variable product of length and width. From the obtained models are selected those that best explain the leaf area. A new numerical method is also applied for obtaining models of the leaf area and inferring its value from the values of the width and length, which are compared with the regression models. The second objective is to consider the different types of container classified by their size: small, medium and large. Finally, we analyzed the effect of container size on leaf area development of seedlings Keywords: leaf area, plants, container size, regression models, numerical models.
Keywords: leaf area, plants, container size, regression models, numerical models.