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。
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.
作者
贾文珅
李孟楠
李雨
孟蕾
卢娜
韩平
潘立刚
王纪华
JIA Wen-Shen LI Meng-nan LI Yu MENG Lei LU Na HAN Ping PAN Li-Gang WANG Ji-Hua(Department of Beijing Research Center for Agricultural Standards and Testing, Beijing Academy of Agriculture and Forestry Science, Beo＇ing 100097, China Department of Risk Assessment Lab for Agro-products （Beijing）, Ministry of China, Beijing 100097, China Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China Department of Risk Assessment Lab for Agro-products （Beij＇ing）, Ministry of Agriculture, Beijing 100097, China College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China)
出处
《食品安全质量检测学报》
CAS
2016年第11期4401-4407,共7页
Journal of Food Safety and Quality
基金
国家863计划(2013AA10230202)~~
关键词
物联网
设施农业
传感器
人工神经网络
模糊控制
internet of things
facility agriculture
sensors
artificial neural network
fuzzy control
