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Global Journal of Engineering and Technology Research (GJETR)

Livestock Management Using IoT-Enabled Smart Intelligent

Narasimhan, V. Lakshmi

20 February 2026 · Vol. 2, Issue 2, pp. 54-60

DOI: 10.65150/EP-gjetr/V2E2/2026-04

Abstract

With the advent of Internet of Things (IoT), RFID and communication mechanisms, livestock management has become smart and intelligent. As a result, livestock and their end-products are being systematically monitored from their birth to their final destination on the dining table. This paper describes the use of IoTs and sensor network towards addressing various issues in livestock management. The architecture of an IoT-enabled intelligent livestock management (iSILM) is described and its performance evaluated through parametric modeling technique. The iSILM system runs over a private cloud so that all information can be gathered, processed and what-if questions answered using a variety of historical and current data along with an embedded intelligent decision support system.   The performance indices indicate that the iSILM system is viable and will value-add to intelligent livestock management programs. 

Keywords: Sensor network, IoT, Livestock management, Smart & Intelligent Information, Asset registry, Private cloud and Parametric performance evaluation.

Read the full text on Global Journal of Engineering and Technology Research →The full peer-reviewed article and PDF are hosted on the journal's site (the version of record).

Cite this article

APA
Narasimhan, & V. Lakshmi (2026). Livestock Management Using IoT-Enabled Smart Intelligent. Global Journal of Engineering and Technology Research, 2(2), 54-60. https://doi.org/10.65150/EP-gjetr/V2E2/2026-04
BibTeX
@article{Narasimhan2026,
  title   = {Livestock Management Using IoT-Enabled Smart Intelligent},
  author  = {Narasimhan and V. Lakshmi},
  journal = {Global Journal of Engineering and Technology Research},
  year    = {2026},
  volume  = {2},
  number  = {2},
  pages   = {54-60},
  doi     = {10.65150/EP-gjetr/V2E2/2026-04},
  url     = {https://doi.org/10.65150/EP-gjetr/V2E2/2026-04}
}

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