Prediction of Weight and Body Condition Score of Dairy Goats Using Random Forest Algorithm and Digital Imaging Data

Prediction of Weight and Body Condition Score of Dairy Goats Using Random Forest Algorithm and Digital Imaging Data

The aim of study was to evaluate the use of digital images to predict body weight (BW) and classify the body condition score (BCS) of dairy goats. A total of 154 female Saanen and Alpine goats were used to obtain eight body measurements features from digital images: withers height (WH), rump height...

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Bibliographic Details
Main Authors: Mateus Alves Gonçalves, Maria Samires Martins Castro, Eula Regina Carrara, Camila Raineri, Luciana Navajas Rennó, Erica Beatriz Schultz
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Animals
Subjects:
artificial intelligence
precision livestock farming
small ruminants
Online Access:https://www.mdpi.com/2076-2615/15/10/1449
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