Published August 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Monitoring of Livestock on Large-Scale Areas using Aerospace Data and IoT Technologies

Creators

  • 1. Student, Department of System and Applied Programming, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent.

Contributors

  • 1. Professor, Department of System and Applied Programming, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent.
  • 2. Professor, Department of Information Technologies, Nukus State Technical University, Tashkent.
  • 3. Student, Department of System and Applied Programming, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent.
  • 4. Student, Department of Systems and Applied Programming, Tashkent University of Information Technologies, named after Muhammad al-Khwarizmi, Tashkent.

Description

Abstract: This article explores innovative solutions for developing a remote-control system to monitor cattle in vast, remote areas that are inaccessible to humans. The system, utilizing Internet of Things and geofencing technologies, enables farmers to reduce manual labor, track lost livestock, and effectively utilize pasture resources. Advanced technologies, including GPS, ultrasonic sensors, databases, antennas, and Arduino microcontrollers, were utilised in this system. Additionally, methods for assessing vegetation cover in pastures and their nutritional productivity using vegetation indices, such as NDVI, were also analysed. The research results show that the proposed solution enables increased efficiency in livestock management, as well as optimisation of energy and time costs. This, along with creating conveniences for farmers, will serve to improve the health and productivity of livestock.

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Additional details

Identifiers

DOI
10.35940/ijies.H1114.12080825
EISSN
2319-9598

Dates

Accepted
2025-08-15
Manuscript received on 26 July 2025 | First Revised Manuscript received on 30 July 2025 | Second Revised Manuscript received on 05 August 2025 | Manuscript Accepted on 15 August 2025 | Manuscript published on 30 August 2025.

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