Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data

Comparison of supervised machine learning and variable selection methods for body weight prediction of growth pigs using image processing data

ABSTRACT This research aimed to compare statistical methods (random forest, RIDGE, LASSO, and elastic net regression) for the prediction of body weight in purebred and crossbred pigs reared in Brazil. This prediction was based on dorsal-view images obtained from video image processing. The study inv...

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Bibliographic Details
Main Authors: Eula Regina Carrara, Polliany da Costa Santos Oliveira, Layla Cristien de Cássia Miranda Dias, Weverton Gomes da Costa, Aline Rabello Conceição, Pedro Henrique Silva Braga, Mario Luiz Chizzotti, Renata Veroneze, Erica Beatriz Schultz
Format: Article
Language:English
Published: Sociedade Brasileira de Zootecnia 2024-11-01
Series:Revista Brasileira de Zootecnia
Subjects:
2D image
back area
crossbred pig
penalized regression
precision livestock farming
random forest
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982024000100207&lng=en&tlng=en
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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982024000100207&lng=en&tlng=en

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