Indoor Positioning Systems (IPS) are becoming increasingly popular in livestock farming as possible tools for the implementation of Precision Agriculture principles, allowing precise tracking of animals, groups or operator within barns. Unlike GPS, which is common outdoors, a wide variety of technologies have been developed to address unique indoor challenges, each with specific strengths and limitations. This paper surveys current and emerging IPS technologies in livestock farming, evaluating their accuracy, latency, scalability, and energy efficiency. The use of IPS with other sensors could allow farmers to monitor animal health and behavior in real time, enhancing operational efficiency and empowering on-farm data visualization on portable devices like smartphones or immersive technologies as smart glasses. However, further research is needed to investigate scalability, cost-effectiveness, and integration of these systems with conventional farm management tools. IPS adoption could empower a more data-driven, sustainable approach to farming meeting modern demands for food security, animal welfare, and economic sustainability.

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Indoor Positioning System in Livestock Farming

  • Daniele Pinna,
  • Gabriele Sara,
  • Giuseppe Todde,
  • Maria Caria

摘要

Indoor Positioning Systems (IPS) are becoming increasingly popular in livestock farming as possible tools for the implementation of Precision Agriculture principles, allowing precise tracking of animals, groups or operator within barns. Unlike GPS, which is common outdoors, a wide variety of technologies have been developed to address unique indoor challenges, each with specific strengths and limitations. This paper surveys current and emerging IPS technologies in livestock farming, evaluating their accuracy, latency, scalability, and energy efficiency. The use of IPS with other sensors could allow farmers to monitor animal health and behavior in real time, enhancing operational efficiency and empowering on-farm data visualization on portable devices like smartphones or immersive technologies as smart glasses. However, further research is needed to investigate scalability, cost-effectiveness, and integration of these systems with conventional farm management tools. IPS adoption could empower a more data-driven, sustainable approach to farming meeting modern demands for food security, animal welfare, and economic sustainability.