IoT in Sound Capture and Analysis in Agroindustry: A Literature Review

Abstract

This article aims to review and analyze the literature on the application of the Internet of Things (IoT) in sound capture and analysis in agroindustry, an emerging field with great potential to improve agricultural efficiency and sustainability. The study seeks to identify the current state of research, key trends, and areas of opportunity in this field. A systematic review of the literature was conducted using Google Scholar as an academic database, focusing on publications specifically addressing IoT integration in acoustic monitoring. The process included data collection and bibliometric analysis, as well as an evaluation of the characteristics of the research carried out to date. The results highlight that most studies are recent, with a particular focus on applications such as pest detection and crop monitoring through sound analysis. Despite growing interest, significant gaps have been identified in areas such as the use of artificial intelligence and machine learning in interpreting the acoustic data collected. The study concludes that it is essential to continue developing more advanced IoT systems, particularly in fields such as beekeeping and ecology, where the application of sound analysis can have a significant impact. This work provides a solid foundation for future research and the development of innovative technologies in agroindustry.