| 面向叶类蔬菜病害识别的温室监控视频采集系统 |
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| 引用本文： | 马浚诚,李鑫星,温皓杰,陈英义,傅泽田,张领先.面向叶类蔬菜病害识别的温室监控视频采集系统[J].农业机械学报,2015,46(3):282-287. |
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| 作者姓名： | 马浚诚 李鑫星 温皓杰 陈英义 傅泽田 张领先 |
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| 作者单位： | 中国农业大学;农业部农业信息获取技术重点实验室,中国农业大学;农业部农业信息获取技术重点实验室,中国农业大学;农业部农业信息获取技术重点实验室,中国农业大学;农业部农业信息获取技术重点实验室,中国农业大学;农业部农业信息获取技术重点实验室,中国农业大学;农业部农业信息获取技术重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目（31271618）和北京农业局财政资助项目（blvt-20） |
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| 摘 要： | 为满足温室叶类蔬菜病害准确识别的视频数据需求,结合温室叶类蔬菜病害发生的特点,采用物联网技术,基于传感器感知的环境信息与摄像机监控视频信息,构建了一种面向叶类蔬菜病害识别的温室监控视频采集系统。该系统将案例检索与模糊推理方法相结合,设计温室监控视频获取方法,将传感器实时采集的数据与知识库中的病害产生环境条件相匹配,以匹配结果作为视频采集的依据,实现了监控视频的智能采集;并利用模糊推理方法,弥补案例检索结果不够全面的问题,确保了数据的准确获取。同时,该系统还提供了实时数据显示、实时视频监控等功能。系统应用结果表明,该系统能够满足温室叶类蔬菜病害识别的视频数据需求。
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| 关 键 词： | 叶类蔬菜 病害识别 温室监控 视频获取 模糊推理 |
| 收稿时间： | 2014/6/11 0:00:00 |
Monitoring Video Capture System for Identification of Greenhouse Vegetable Diseases |
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| Ma Juncheng,Li Xinxing,Wen Haojie,Chen Yingyi,Fu Zetian and Zhang Lingxian.Monitoring Video Capture System for Identification of Greenhouse Vegetable Diseases[J].Transactions of the Chinese Society of Agricultural Machinery,2015,46(3):282-287. |
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| Authors: | Ma Juncheng Li Xinxing Wen Haojie Chen Yingyi Fu Zetian and Zhang Lingxian |
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| Institution: | China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture,China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture,China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture,China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture,China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and China Agricultural University;Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture |
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| Abstract: | With the development of technology of internet of things (IOT), video data plays more and more important roles in monitoring of facility agriculture. Aiming at the video data requirement of identification for greenhouse vegetable diseases, this paper presents a monitoring video capture system orienting the identification of greenhouse vegetable diseases according to the characteristics of diseases of greenhouse leafy vegetables. The monitoring video capture system utilized the technology of IOT and the information acquired by sensors and monitoring cameras in greenhouse. The monitoring video capture system achieved the goal of intelligent greenhouse monitoring video acquisition by using a designed greenhouse video acquiring method. The greenhouse video acquiring method fused the case based reasoning and fuzzy reasoning, more specially, monitoring videos can be acquired through the greenhouse video acquiring method by matching the data collected by sensors in real time with the combination of environmental conditions in knowledge base. The fusion of case based reasoning and fuzzy reasoning can make up the incompleteness of the use with single method of case retrieval and ensure the accuracy of the data. The system also consisted of the functions of real time monitoring data and real time monitoring video. The results showed that the recall of the monitoring video capture system was 95.4%, which indicated that the monitoring video capture system can meet the video data requirement of identification for greenhouse vegetable diseases. |
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| Keywords: | Leafy vegetable Diseases identification Greenhouse monitoring Video acquisition Fuzzy inference |
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