Edge Computing and Artificial Intelligence for Real-time Poultry Monitoring

Abstract

Smart Poultry acquires data from aviaries by means of sensor network at reduced intervals of time (every minute) that generate hundred thousands of data. The conjunction of Internet of Things and Artificial Intelligence open the field of the real-time monitoring of poultry and, advance analytics and automation if data is from high quality. In this paper, we propose a scalable monitoring of a poultry achieved with open hardware wireless sensors network and software. We use a Gated Recurrent Unit, an artificial intelligence algorithm to validate and predicate environmental parameters.