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In modern agriculture, the management of livestock (LS) plays a crucial role in ensuring the well-being, health, and productivity of animals. Traditional monitoring methods have relied on manual checks and physical boundaries, which have been labor-intensive, time-consuming, and prone to human error. To address these challenges, the adoption of Internet of Things (IoT) technology has been pursued, with a particular focus on geofencing systems and temperature monitoring as transformative solutions. Geofencing technology involves the creation of virtual boundaries within a geographical area using Global Positioning System (GPS) or similar location-based technologies. These virtual boundaries are defined by specific GPS coordinates or digital mapping, allowing for precise delineation of zones such as grazing areas, feeding zones, or restricted areas. When animals equipped with GPS-enabled collars or tags move within or cross these boundaries, their location is recognized in real time, triggering notifications or automated actions. An additional layer of precision in LS monitoring is provided through the incorporation of temperature sensors within these collars or tags. Real-time temperature data offers insights into the health status and comfort levels of animals, facilitating early recognition of illnesses or heat stress. The integration of these technologies is crucial for preventing disease outbreaks and ensuring optimal living conditions. The implementation of geofencing and temperature monitoring systems offers several advantages to farmers and ranchers, including remote monitoring of animal movements and behaviors, enhanced animal welfare, and improved operational efficiency. Data-driven decision-making is supported through the analysis of location-based and temperature data, leading to better-informed management practices. IoT-driven geofencing and temperature monitoring technology represents a significant advancement in precision LS monitoring, contributing to increased productivity, sustainability, and animal safety.

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Optimizing Livestock Health and Productivity Through IoT-Driven Temperature Monitoring Systems

  • 会议论文

  • 发表日期：

    2026年

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  • S. Kanagamalliga,
  • R. Latha,
  • J. Lakshmi Prabha,
  • D. I. Usha Rani

摘要

In modern agriculture, the management of livestock (LS) plays a crucial role in ensuring the well-being, health, and productivity of animals. Traditional monitoring methods have relied on manual checks and physical boundaries, which have been labor-intensive, time-consuming, and prone to human error. To address these challenges, the adoption of Internet of Things (IoT) technology has been pursued, with a particular focus on geofencing systems and temperature monitoring as transformative solutions. Geofencing technology involves the creation of virtual boundaries within a geographical area using Global Positioning System (GPS) or similar location-based technologies. These virtual boundaries are defined by specific GPS coordinates or digital mapping, allowing for precise delineation of zones such as grazing areas, feeding zones, or restricted areas. When animals equipped with GPS-enabled collars or tags move within or cross these boundaries, their location is recognized in real time, triggering notifications or automated actions. An additional layer of precision in LS monitoring is provided through the incorporation of temperature sensors within these collars or tags. Real-time temperature data offers insights into the health status and comfort levels of animals, facilitating early recognition of illnesses or heat stress. The integration of these technologies is crucial for preventing disease outbreaks and ensuring optimal living conditions. The implementation of geofencing and temperature monitoring systems offers several advantages to farmers and ranchers, including remote monitoring of animal movements and behaviors, enhanced animal welfare, and improved operational efficiency. Data-driven decision-making is supported through the analysis of location-based and temperature data, leading to better-informed management practices. IoT-driven geofencing and temperature monitoring technology represents a significant advancement in precision LS monitoring, contributing to increased productivity, sustainability, and animal safety.