Abstract
Animal products for human consumption are in high demand, and Precision Livestock Farming (PLF) provides the opportunity to produce better and more precise quality products to meet the demand. The sound made by the sick pigs may indicate that the sufferings from respiratory infections, which are a primary cause of mortality and productivity loss in intensive pig farming operations worldwide. It is necessary to design technology for collecting and analyzing livestock data in order to limit the damage caused by a variety of respiratory abnormalities. This review paper provided the outline of current research on sound-based techniques to monitor pig diseases and crushing symptoms in pig farms, as well as the characteristics of detection methods that may be used to improve detection technical parameters. Sound sensors may be used to collect data about farm animals from a broad variety of sensors. Sound analysis starts with sound recording, which is the act of gathering audio signal information using microphones. Consequently, there has been a considerable rise in research into wireless sensor network technology. Sensors with an audio component are more effective at detecting acute symptoms of respiratory diseases. Numerous investigations in monitoring and data analysis were conducted to better understand the issues connected with pig farms via the use of signal processing and artificial intelligence (AI) models. Several limitations with respect to sound detection in pig farms were also mentioned. The application of sound detection technology based on audio analysis in the pig industry will be a potential medium with the development of new technologies to be applied in pig farms.
Figures & Tables
Fig. 1. Typical sound sensors placement inside the pig farm, (a) close to the pigs from the top (www.pigprogress.net), (b) sound sensor with the CCTV camera (Chung et al., 2013), and (c) moderate height from the pig and the top.
