Method for estimating acai palm biomass via factor analysis

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Details

In this book, the reader will have access to all field and statistical procedures for constructing a regression model to determine the fresh biomass of acai palm (Euterpe oleracea Mart.) above ground level, based on allometric characteristics that are easy to obtain in the field, such as circumference at breast height, total height, and bunch size. The allometric mathematical model determined in this work was developed using multivariate statistical techniques through factor analysis with the principal component method via varimax orthogonal rotation for factor extraction. Therefore, through this statistical model, it is possible to determine the biomass of acai palm trees using only measurements obtained in the field, thus avoiding the use of destructive methods on plants.

Autorentext
Francisco Carlos, Agronomist graduated from the Federal Institute of Pará Campus Castanhal (2014), Master's degree in Agronomy (Soil Science) from the State University of São Paulo Campus Jaboticabal (2016). José Arledo, Agronomist graduated from the Federal Institute of Pará Campus Castanhal (2014), Agricultural Defense Inspector for the State of Pará.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208491161
    • Genre Biology
    • Sprache Englisch
    • Anzahl Seiten 60
    • Größe H220mm x B150mm x T4mm
    • Jahr 2025
    • EAN 9786208491161
    • Format Kartonierter Einband (Kt)
    • ISBN 978-620-8-49116-1
    • Veröffentlichung 26.08.2025
    • Titel Method for estimating acai palm biomass via factor analysis
    • Autor Francisco Carlos Almeida de Souza , José Arledo Marques de Souza
    • Untertitel Multivariate mathematical model for estimating above-ground acai palm biomass
    • Gewicht 107g
    • Herausgeber Our Knowledge Publishing

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