Accelerometers-based position and time interval comparisons for predicting the behaviors of young bulls housed in a feedlot system

Animal behavior monitoring is an important tool for animal production. This behavior monitoring strategy can indicate the well-being and health of animals, which can lead to better productive performance. This study aimed to assess the most effective accelerometer attachment position (on either the...

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Bibliographic Details
Main Authors:	Rafael Nakamura Watanabe, Eliéder Prates Romanzini, Priscila Arrigucci Bernardes, Julia Lisboa Rodrigues, Guilherme Alves do Val, Matheus Mello Silva, Márcia Helena Machado da Rocha Fernandes, Sabrina Luzia Caetano, Salvador Boccaletti Ramos, Ricardo Andrade Reis, Danísio Prado Munari
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Smart Agricultural Technology
Subjects:	Machine learning Multilayer perceptron Precise livestock management Random forest Support vector machine
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375524001473
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Accelerometers-based position and time interval comparisons for predicting the behaviors of young bulls housed in a feedlot system

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