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Computer program and statistical models to estimate teak leaf area

Borges PHM;
de França DM;
Nazario JP;
Monteiro CRI;
de Mendoza ZMSH;
Morais PHM

Pedro Hurtado de Mendoza Borges

Douglas Moura de França

Julianna de Paula Nazario

Carlos Rodolfo Ibanez Monteiro

Zaíra Morais dos Santos Hurtado de Mendoza

Pedro Hurtado de Mendoza Morais


Resumen

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


Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.

Derechos de autor 2023 Pedro Hurtado de Mendoza Borges, Douglas Moura de França, Julianna de Paula Nazario, Carlos Rodolfo Ibanez Monteiro, Zaíra Morais dos Santos Hurtado de Mendoza, Pedro Hurtado de Mendoza Morais

##plugins.themes.gdThemes.article.Authors##

  • Pedro Hurtado de Mendoza Borges
  • Douglas Moura de França
  • Julianna de Paula Nazario
  • Carlos Rodolfo Ibanez Monteiro
  • Zaíra Morais dos Santos Hurtado de Mendoza
  • Pedro Hurtado de Mendoza Morais