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...

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Hlavní autoři:	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
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-08-01
Edice:	Smart Agricultural Technology
Témata:	Animal monitoring Accelerometer LoRaWAN Machine learning Rangeland cattle Real time
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2772375525002357
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