声音信号分析技术在白羽肉鸡智能化养殖中的应用进展  

Application Progress of Sound Signal Analysis Technology in Intelligent Breeding of White-feathered Broiler

作　　者：刘燕宇 周书锋[1] 乔立山[1] 李玉保[2] 夏建伟[1] LIU Yanyu;ZHOU Shufeng;QIAO Lishan;LI Yubao;XIA Jianwei(College of Mathematical Sciences,Liaocheng University,Liaocheng,Shandong 252000;College of Agronomy and Agricultural Engineering,Liaocheng University,Liaocheng,Shandong 252000)

机构地区：[1]聊城大学数学科学学院,山东聊城252000 [2]聊城大学农学与农业工程学院,山东聊城252000

出　　处：《中国家禽》2023年第9期90-98,共9页China Poultry

基　　金：国家自然科学基金项目(61976110、62176112);聊城大学畜牧学科开放项目(319312101-01)。

摘　　要：声音信号分析技术是当前白羽肉鸡智能化养殖的重要技术,随着机器学习和深度学习技术的日益发展,将声音信号分析技术与机器学习、深度学习结合已经成为研究热点。文章阐述了白羽肉鸡传统养殖面临的困难和白羽肉鸡的智能化养殖技术,以及声音信号分析技术检测任务的一般流程,并指出了相关过程的技术分类和典型方法,系统阐述了声音信号分析技术在白羽肉鸡疾病检测、应激检测、性别分类、体重预测、行为分析中的应用。At present,sound signal analysis technology is an important technology for intelligent breeding of white-feathered broilers.With the increasing development of machine learning and deep learning technology,the combination of sound signal analysis technology with machine learning and deep learning has become a research hotspot.This paper introduced the difficulties of traditional breeding of white feather broiler,the intelligent breeding technology of white-feathered broiler and the general process of detecting task of sound signal analysis technology,the technical classification and typical methods of related process.The application of sound signal analysis technology was systematically summarized in disease detection,stress detection,sex classification,weight prediction and behavior analysis of white-feathered broilers.

关 键 词：白羽肉鸡 声音信号分析 智能化养殖 机器学习 深度学习 

分 类 号：S831.4[农业科学—畜牧学]