Abstract
Teak has been widely used in the furniture industry. However, the characteristics of its leaves allow its use in projects for the recovery of degraded areas and the implementation of agroforestry or agrosilvopastoral systems, as its shape, size and arrangement on the tree can favor the interception of rain, which can reduce or mitigate soil erosion because of surface runoff. The objective of this research was to estimate teak leaf area with the help of the ImageJ computer program and several statistical models. Functional dependencies were elaborated based on linear, exponential, logarithmic and potential relationships, defining leaf length and width measurements as independent variables. The selection of the most appropriate models was carried out based on analytical and graphic criteria, highlighting those developed from the independent variable defined by the product of the length times the width of the sheet. The values determined by these relationships showed a high correlation with those obtained by the ImageJ program and the best performance and efficiency indices to estimate the teak leaf area, especially the logarithmic model.
DOI:https://doi.org/10.56238/uniknowindevolp-036