摘要
鉴于猪只健康监测已成为目前人工智能领域研究的热点之一,对基于人工智能的猪只脸部识别、行为识别与声音识别的相关文献进行了研究,分析了传统机器学习识别方法与深度学习识别方法的区别。通过识别猪只的行为与声音,对猪只健康状况进行了监测。对猪只健康监测的相关研究进行了展望。
Monitoring the health of pigs has become a hot topic in the field of artificial intelligence research.Based on the research of literature on artificial intelligence based pig facial recognition,behavior recognition,and voice recognition methods,the differences between traditional machine learning recognition methods and deep learning recognition methods were summarized and analyzed.By identifying pigs behaviors and sounds,the health of pigs was monitored,and related research was prospected.
作者
钟长华
吴浩
宋弘
江俊卓
俞婧婧
ZHONG Changhua;WU Hao;SONG Hong;JIANG Junzhuo;YU Jingjing(School of Automation and Information Engineering,Sichuan University of Science and Engineering,Yibin 644000,China;Sichuan Provincial Key Laboratory of Artificial Intelligence,Sichuan University of Science and Engineering,Yibin 644000,China;School of Electronic Information and Automation,Aba Teachers University,Aba 623002,China)
出处
《成组技术与生产现代化》
2023年第3期4-10,共7页
Group Technology & Production Modernization
基金
四川省科技厅资助重点研发项目(2021YFG0313)
人工智能四川省重点实验室资助项目(2019RYY01)
四川轻化工大学人才引进资助项目(2021RC12)
四川轻化工大学研究生创新基金资助项目(Y2023296)
关键词
猪脸识别
行为识别
声音识别
图像识别
机器学习
pig face recognition
behavior recognition
voice recognition
image recognition
machine learning
