Internet of Things Based Weather-Soil Sensor Station for Precision Agriculture

被引:0
|
作者
El-magrous, Ahmed A. [1 ]
Sternhagen, Jason D. [1 ]
Hatfield, Gary [2 ]
Qiao, Qiquan [1 ]
机构
[1] South Dakota State Univ, Jerome J Lohr Coll Engn, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA
[2] South Dakota State Univ, Jerome J Lohr Coll Engn, Dept Math & Stat, Brookings, SD 57007 USA
关键词
Super-Node; Sensor-Node; Internet of Things;
D O I
10.1109/eit.2019.8833811
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents the design, development, and testing of a customizable and cost-effective Weather-Soil Sensor Station (W-SSS) for use in Precision Agriculture based on high accuracy sensors, wireless communication, cloud data storage, and computation technology. The W-SSSs operated from July 25, 2018, to September 15, 2018, using an off-grid power system, Arduino microcontroller, and Wi-Fi connection to the cloud. Sensor data quality was evaluated using several statistical techniques. The data obtained from the weather-soil stations illustrate the differences in weather and soil conditions both relative to the local weather station as well as those within a field. Knowledge of these differences would allow a farmer to vary planting densities relative to soil conditions, irrigation control, as well as pest/herbicide management.
引用
收藏
页码:92 / 97
页数:6
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