A systematic review of IoT technology and applications in animals

Abstract

Precision Livestock Farming (PLF) is a mechanism that manages a production system. This mechanism includes mathematical models and controllable inputs that can predict inputs with processes and results that can be monitored periodically. These parameters of PLF systems can improve resource use efficiency and reduce cultivation costs. Many situations, such as the behaviour of animals on farms, their nutrition, estrus cycles, and epidemics, can be monitored with wearable devices containing various sensors. However, real-time monitoring of the data collected by these devices is possible with Internet of Things (IoT) technology. IoT is a multi-layered network that enables sensors within the system to communicate with each other and implement certain decisions when necessary. Sensors and IoT devices extract information from the raw data they collect from the environment, which is then shared with other objects, devices, or servers via the internet. The real-time data collection, processing, and analysis provided by IoT enables improvements in the management of animal farms. This systematic review addresses IoT concepts and applications in the livestock sector from a systematic perspective for different animal farms.