文章基本信息

标题：ENVIRONMENT ANALYSIS OF LAYING HENS BASED ON DETAILED SOUND CLASSIFICATION USING SVM
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作者：DAEYOUNG NA ; SANG HO MOON ; CHEOL WON LEE 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：18
页码：4886-4896
出版社：Journal of Theoretical and Applied
摘要：This paper suggests a classification model to analyze the status of environment of henhouse or circumstances of laying hens in real-time by inspecting the sound of laying hens. In this model, the sound of laying hens which has entered in real-time through the sound sensor installed in the henhouse classified into seven categories of sound. The goal is to analyze the classified sound of laying hens in diverse potential circumstances measuring the status of laying hens and environmental conditions of henhouses. Environmental status has been designed to detect high and low temperature, high density, and high pollution. This model was implemented by using SVM. According to the result of experiments, sound category analysis of laying hens showed the accuracy of 70.3% in average, and the estimation of environmental status showed 60.8% of accuracy in average.
关键词：Classification; Laying Hens; Sound Analysis; Support Vector Machine