| 基于农业物联网技术的农田“四情”感知决策体系的构建 |
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| 引用本文： | 严曙,王儒敬,宋良图.基于农业物联网技术的农田“四情”感知决策体系的构建[J].南京气象学院学报,2015,7(2):149-154. |
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| 作者姓名： | 严曙 王儒敬 宋良图 |
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| 作者单位： | 中国科学院合肥智能机械研究所, 合肥, 230031;中国科学技术大学 自动化系, 合肥, 230026;中国科学院合肥智能机械研究所, 合肥, 230031;中国科学院合肥智能机械研究所, 合肥, 230031 |
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| 基金项目： | 安徽省科技攻关计划(1201A01008) |
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| 摘 要： | 围绕可持续的绿色精准农业这一目标,针对农田"四情"(苗情、墒情、病虫情、灾情)监测的物联网应用,从农作物生产过程的信息获取、传输、处理、服务4个层面上构建物联网应用系统,内容涉及农田的苗情、墒情、病虫情和灾情的感知,低功耗低成本自组织的无线传输网络,强大处理能力的云服务支撑平台和农作物生产管理决策系统,实现实时监测预警,病虫害防治和灾情评估等功能,为提升农业综合生产能力、抵御自然灾害风险,发展优质高产高效现代农业提供技术支撑.
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| 关 键 词： | 农业物联网 大田监测 无线传感网 农业 |
| 收稿时间： | 2013/6/6 0:00:00 |
Construction of decision system for the 4-situation perception of farmland based on internet of things |
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| YAN Shu,WANG Rujing and SONG Liangtu.Construction of decision system for the 4-situation perception of farmland based on internet of things[J].Journal of Nanjing Institute of Meteorology,2015,7(2):149-154. |
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| Authors: | YAN Shu WANG Rujing and SONG Liangtu |
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| Affiliation: | Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031;Department of Automation, University of Science and Technology of China, Hefei 230026;Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031;Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031 |
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| Abstract: | The internet of things is employed to construct a network monitoring the four situations of farmland,with the purpose to build sustainable and green precision agriculture.The four situations during crop production,including crop growth,soil moisture,crop diseases & pests,and meteorological disasters,are acquired and transmitted by the low-power,low-cost,self-organized wireless communication network,which are then processed by the powerful cloud services support platform,thus provide data to the crop production management decision system.Integrated with functions of real-time crop growth monitoring,crop diseases & pests recognition and warning,disaster evaluation,this system can provide technical support for improvement in agricultural comprehensive production capacity,prevention of natural disasters as well as the development of high efficient modern agriculture. |
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| Keywords: | agricultural internet of things field monitoring wireless sensor network agriculture |
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