| 在农业物联网中基于卡尔曼滤波算法实现系统数据的融合处理 |
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| 引用本文： | 李峰. 在农业物联网中基于卡尔曼滤波算法实现系统数据的融合处理[J]. 农业网络信息, 2014, 0(12): 13-15 |
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| 作者姓名： | 李峰 |
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| 作者单位： | 淮安生物工程高等职业学校,江苏 淮安,223200 |
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| 基金项目： | 国家星火计划项目(编号2011GA690197)。 |
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| 摘 要： | 本文阐述了物联网和农业物联网的概念和内涵,介绍了农业物联网的体系结构以及各层的功能和涉及的主要技术,介绍了数据融合的相关概念、原理过程和技术优势,详细解释了基于卡尔曼滤波算法实现系统数据的融合处理的过程。
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| 关 键 词： | 农业物联网 数据融合 卡尔曼滤波算法 |
The System Data Fusion in Agricultural Internet of Things Based on Kalman Filtering Algorithm |
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| LI Feng. The System Data Fusion in Agricultural Internet of Things Based on Kalman Filtering Algorithm[J]. Agriculture Network Information, 2014, 0(12): 13-15 |
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| Authors: | LI Feng |
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| Affiliation: | LI Feng (Huai＇an Higher Vocational School of Biological Engineering, Jiangsu Huai＇an 223200) |
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| Abstract: | This article first expounded the concept and connotation of Internet of things and its application in agriculture, and introduced the system structure of agricultural Internet of Things and the function of each layer and the main technology involved, and then introduced the related concept, the principle of data fusion process and technological advantages. Finally the processing of system data fusion based on Kalman Filtering Algorithm was explained in detail. |
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| Keywords: | agricultural Internet of Things data fusion Kalman Filtering Algorithm |
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