Integrating LoRaWAN sensor network and machine learning models to classify beef cattle behavior on arid rangelands of the southwestern United State

Monitoring cattle on large, often rugged, rangelands is a daunting task that can be improved using Long Range Wide Area Network (LoRaWAN) tracking and monitoring technology. This study tested the performance of five machine learning classifiers to discriminate between active and stationary states, a...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Andres Perea, Sajidur Rahman, Huiying Chen, Andrew Cox, Shelemia Nyamuryekung’e, Mehmet Bakir, Huping Cao, Richard Estell, Brandon Bestelmeyer, Andres F. Cibils, Santiago A. Utsumi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-08-01
coleção:	Smart Agricultural Technology
Assuntos:	Animal monitoring Accelerometer LoRaWAN Machine learning Rangeland cattle Real time
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772375525002357
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!