| 基于物联网的生猪运动行为及猪舍环境远程监控系统 |
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| 引用本文： | 段玉瑶,马丽,刘刚.基于物联网的生猪运动行为及猪舍环境远程监控系统[J].农业工程学报,2015,31(Z2):216-221. |
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| 作者姓名： | 段玉瑶 马丽 刘刚 |
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| 作者单位： | 中国农业大学现代精细农业系统集成研究教育部重点实验室,北京 100083;中国农业大学农业部农业信息获取技术重点实验室,北京 100083,中国农业大学现代精细农业系统集成研究教育部重点实验室,北京 100083;河北农业大学信息科学与技术学院,保定 071000,中国农业大学现代精细农业系统集成研究教育部重点实验室,北京 100083;中国农业大学农业部农业信息获取技术重点实验室,北京 100083 |
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| 基金项目： | Beijing Municipal Science and Technology Commission project(D141100003814003) |
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| 摘 要： |
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| 收稿时间： | 2015/10/1 0:00:00 |
Remote monitoring system of pig motion behavior and piggery environment based on Internet of Things |
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| Duan Yuyao,Ma Li and Liu Gang.Remote monitoring system of pig motion behavior and piggery environment based on Internet of Things[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(Z2):216-221. |
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| Authors: | Duan Yuyao Ma Li and Liu Gang |
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| Institution: | Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China,Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China;College of Information Science and Technology, Agricultural University of Hebei, Baoding 071000, China and Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing 100083, China |
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| Abstract: | In intensive and large-scale livestock breeding, how to evaluate welfare of each individual effectively has become one hotspot of welfare breeding.In this study, a remote monitor system based on computer vision technology and wireless sensor networks was proposed.In the system, pig videos in the piggery were captured by IP cameras and transmitted remotely to PC systems for objects tracking and trajectory extraction, and the piggery environmental data such as temperature, humidity and harmful gases were collected by wireless sensor networks(WSN) nodes.Traditional Camshift tracking algorithm was improved.The average root mean square errors of traditional and improved algorithm were 78.07 and 32.29, indicating the improved algorithm reduced error and improved tracking stability.The results of the real-time monitoring of environmental parameters by WSN showed that the hydrogen and ammonia concentrations, and the ambient temperature were all kept in the normal range, while the carbon dioxide concentration was exceeded, and the air humidity was slightly high.Through data mining, precise welfare monitoring and breeding management were realized. |
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| Keywords: | remote monitoring wireless sensor networks computer vision animal welfare |
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