Prediction of Body Mass of Dairy Cattle Using Machine Learning Algorithms Applied to Morphological Characteristics

Prediction of Body Mass of Dairy Cattle Using Machine Learning Algorithms Applied to Morphological Characteristics

The accurate prediction of body mass (BM) in cattle is crucial for herd monitoring, assessing biological efficiency, and optimizing nutritional management. This study evaluated BM prediction models using morphological data from 465 lactating Holstein cows, including the dorsal length (DL), thoracic...

Full description

Saved in:
Bibliographic Details
Main Authors: Franck Morais de Oliveira, Patrícia Ferreira Ponciano Ferraz, Gabriel Araújo e Silva Ferraz, Marcos Neves Pereira, Matteo Barbari, Giuseppe Rossi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Animals
Subjects:
digital livestock
precision livestock
dairy cattle
artificial intelligence
neural networks
Online Access:https://www.mdpi.com/2076-2615/15/7/1054
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2076-2615/15/7/1054

Similar Items