贾文珅,李孟楠,李 雨,孟 蕾,卢 娜,韩平,潘立刚,王纪华.物联网关键技术在设施农业中应用探讨[J].食品安全质量检测学报,2016,7(11):4401-4407
物联网关键技术在设施农业中应用探讨
Application of key internet of thing technologies in facility agriculture
投稿时间:2016-09-08  修订日期:2016-11-11
DOI:
中文关键词:  物联网  设施农业  传感器  人工神经网络  模糊控制
英文关键词:internet of things  facility agriculture  sensors  artificial neural network  fuzzy control
基金项目:国家863计划(2013AA10230202)
作者单位
贾文珅 北京农业质量标准与检测技术研究中心,农业部农产品质量安全风险评估实验室(北京),农产品产地环境监测北京市重点实验室 
李孟楠 北京信息科技大学 
李 雨 三峡大学计算机与信息学院 
孟 蕾 三峡大学计算机与信息学院 
卢 娜 三峡大学计算机与信息学院 
韩平 北京农业质量标准与检测技术研究中心,农业部农产品质量安全风险评估实验室(北京),农产品产地环境监测北京市重点实验室 
潘立刚 北京农业质量标准与检测技术研究中心,农业部农产品质量安全风险评估实验室(北京),农产品产地环境监测北京市重点实验室 
王纪华 北京农业质量标准与检测技术研究中心,农业部农产品质量安全风险评估实验室(北京),农产品产地环境监测北京市重点实验室 
AuthorInstitution
JIA Wen-Shen Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science,Department of Risk Assessment Lab for Agro-products (Beijing), Ministry of China,Beijing Municipal Key Laboratory of Agriculture 
LI Meng-nan Department of Risk Assessment Lab for Agro-products (Beijing), Ministry of Agriculture 
LI Yu College of Computer and Information Technology, China Three Gorges University 
MENG Lei College of Computer and Information Technology, China Three Gorges University 
LU Na College of Computer and Information Technology, China Three Gorges University 
HAN Ping Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science,Department of Risk Assessment Lab for Agro-products (Beijing), Ministry of China,Beijing Municipal Key Laboratory of Agriculture 
PAN Li-Gang Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science,Department of Risk Assessment Lab for Agro-products (Beijing), Ministry of China,Beijing Municipal Key Laboratory of Agriculture 
WANG Ji-Hua Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science,Department of Risk Assessment Lab for Agro-products (Beijing), Ministry of China,Beijing Municipal Key Laboratory of Agriculture 
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中文摘要:
      农业物联网是将大量的传感器节点构成监控网络, 通过各种传感器采集信息, 以便发现问题, 并且准确地确定发生问题的位置, 从而大量使用各种自动化、智能化、远程控制的生产设备。而设施农业是现代化农业的具体体现和标志, 可以获取农业生产高效率与高收益, 因此将农业物联网应用到设施农业中, 将突破以人力为中心、依赖于孤立机械的农业生产模式转向以信息和软件为中心的生产模式。依据物联网架构设施农业物联网分为感知层、传输层和应用层3部分, 分别对应信息感知技术、信息传输技术与信息应用技术。本文通过对国内外设施农业物联网技术最新进展的调研和分析, 总结了设施农业物联网在信息感知技术、信息传输技术、信息应用技术以及大数据与设施农业物联网等方面的研究进展, 并针对设施农业物联网技术的发展, 分别从感知层、传输层、应用层等方面问题提出了建设性意见。
英文摘要:
      Agriculture Internet of Things (IoT) refers to using a large number of sensor nodes to constitute a monitoring network and use sensors to collect information so that problems can be found and located accurately. Therefore, agriculture IoT makes extensive use of various automated, intelligent, and remote-control production devices. Facility agriculture is a concrete embodiment and symbol of modern agriculture and can generate high efficiency and high profits for agriculture. Therefore, the application of agriculture IoT into facility agriculture will shift the agricultural production mode centered on manual labor and dependent on isolated machines to one centered on information and software. According to the architecture of IoT, facility agriculture IoT is divided into three parts: the perception layer, the transmission layer, and the application layer which corresponds to information perception technology, information transmission technology, and information application technology respectively. Based on the investigation and analysis of the latest developments in Chinese and foreign facility agriculture IoT technologies, this paper summarized the research progress of facility agriculture IoT in information perception technology, information transmission technology, and information application technology, as well as big data and Iot facilities agriculture, etc. Based on the developments in facility agriculture IoT technologies, some constructive suggestions from the aspects of the perception layer, transmission layer, and application layer were put forward.
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