Prediction of Body Weight by Using PCA-Supported Gradient Boosting and Random Forest Algorithms in Water Buffaloes (<i>Bubalus bubalis</i>) Reared in South-Eastern Mexico

Prediction of Body Weight by Using PCA-Supported Gradient Boosting and Random Forest Algorithms in Water Buffaloes (<i>Bubalus bubalis</i>) Reared in South-Eastern Mexico

This study aims to use advanced machine learning techniques supported by Principal Component Analysis (PCA) to estimate body weight (BW) in buffalos raised in southeastern Mexico and compare their performance. The first stage of the current study consists of body measurements and the process of dete...

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Bibliographic Details
Main Authors: Armando Gomez-Vazquez, Cem Tırınk, Alvar Alonzo Cruz-Tamayo, Aldenamar Cruz-Hernandez, Enrique Camacho-Pérez, İbrahim Cihangir Okuyucu, Hasan Alp Şahin, Dany Alejandro Dzib-Cauich, Ömer Gülboy, Ricardo Alfonso Garcia-Herrera, Alfonso J. Chay-Canul
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Animals
Subjects:
principal component analysis
gradient boosting
random forest
buffalo
body weight
Online Access:https://www.mdpi.com/2076-2615/14/2/293

Internet

https://www.mdpi.com/2076-2615/14/2/293

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