Abstract

Indoor localization of dairy cows is important for cow behavior recognition and effective farm management. In this paper, we propose a low-cost system for low-accuracy cow localization based on the reception of signals sent by an acceleration measurement system using the Bluetooth Low Energy protocol. The system consists of low-cost tags and receiving stations. The tag specifications and the localization accuracy of the system were studied experimentally. The received signal strength propagation model and dependence on the tag orientation was studied in an open-space and a barn environment. Two experiments for the evaluation of localization accuracy were conducted with 35 and 19 cows for two days. The localization reference was achieved from feeding stations, a milking robot and videos of cows decoded manually. The localization accuracy (mean ± standard deviation) was 3.27 ± 2.11 m for the entire barn (10 × 40 m2) and 1.9 ± 0.67 m for a smaller area (4 × 5 m2). The system can be used for recognizing long-distance walking, crowded areas in the barn, e.g., queues to milking robots, and cow’s preferable locations. The estimated system cost was 500 + 20 × (cow number) € for one barn. The system has open-access software and detailed instructions for its installation and usage.

Highlights

  • Body location and its motions are important for farm animals’ well-being and efficiency monitoring [1]

  • The signal was averaged similar to the received signal strength (RSS) propagation experiment the open space (a) and 10 m in the barn (b)

  • The low-cost indoor localization system based on Bluetooth low energy (BLE) tags and receiving stations provides an ability to monitor an approximate cow location with an accuracy of 3.27 ± 2.11 m in a barn

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Summary

Introduction

Body location and its motions are important for farm animals’ well-being and efficiency monitoring [1]. Alarms about dairy cow diseases, stresses and calving can be generated through analyzing untypical behavior and motions [2,3]. A variety of commercial systems based on tags with accelerometers provide the ability to monitor cow behavior derived from cow motions. These systems have a relatively high cost. A dairy barn makes a challenging environment for localization due to the relatively high density of animals and the presence of metal structures. In order to monitor the indoor location of dairy cows, several technologies were used. The ability to detect the presence of cows in 0.5–3 m areas with a sensitivity of over

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