期刊
MATHEMATICAL AND COMPUTER MODELLING
卷 58, 期 3-4, 页码 820-827出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mcm.2012.12.019
关键词
Precision agriculture; Wireless sensor network; Soil moisture; Spatial variability; Temporal variability
类别
资金
- Beijing Natural Science Fund [6113023]
- Doctoral Program of Higher Education of China [20110008130006]
- 863'' Project [2011AA100703, 2011AA100704]
- Chinese Universities Scientific Fund [2011JS154]
In order to accurately understand soil water deficit and therefore execute effective and water-saving irrigation, the distribution map of soil moisture was obtained by the integration of wireless sensor networks (WSN) with spatial analysis software. The wireless nodes with moisture sensors were located at predetermined locations, and the geographical coordinates of these points were measured with a GPS receiver. The system sent data of soil moisture every 30 min to the remote management platform using the TCP-IP standard protocol. During the experimental period, the data of soil moisture were dynamically recorded, and the temporal and spatial variability were analyzed to decide whether irrigation was needed. Furthermore, in order to draw the distribution map of soil moisture with the Kriging interpolation method, a P - P normal probability plot was created to test normality of the data, and the variogram model was built to check the spatial continuity of data. Then the distribution map of soil moisture was created with the Kriging interpolation method. Through a long-term testing in the field and data analyzing, it was proved that the whole system worked stably and reliably. The temporal curve could reflect the soil moisture changing trend during the experimental period, and the distribution map could be used to guide precision irrigation management. (C) 2012 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据