Title: The remote farmland environment monitoring system based on ZigBee sensor network

Authors: Yongfei Ye; Xinghua Sun; Minghe Liu; Zhisheng Zhao; Xiao Zhang; Hongxi Wu

Addresses: School of Information Science and Engineering, Hebei North University, Zhangjiakou-075000, China ' School of Information Science and Engineering, Hebei North University, Zhangjiakou-075000, China ' School of Economics and Management, Hebei North University, Zhangjiakou-075000, China ' School of Information Science and Engineering, Hebei North University, Zhangjiakou-075000, China ' School of Information Science and Engineering, Hebei North University, Zhangjiakou-075000, China ' School of Information Science and Engineering, Hebei North University, Zhangjiakou-075000, China

Abstract: In order to change the traditional management of agricultural production, ZigBee technology is used in short distance wireless transmission to design intelligent farmland environment remote monitoring system, which integrates communication, computer and all aspects of network technology. The real-time, accurate data collection of farmland soil pH value, the temperature and humidity surroundings of the plants, illumination intensity and crop chlorophyll content, all will provide reliable data for intelligent agricultural production, thereby, the level of intelligence of agricultural management is increased. Based on precision guidance, irrigation will become intelligent which can avoid the waste of water resources and low utilisation rate caused by free operation. At the same time, it will promote modernisation of agricultural production process.

Keywords: farmland environment; remote monitoring; ZigBee technology; sensor network; intelligent farmland environment; precise agriculture; agricultural information; data collection; data transmission; real-time; agricultural knowledge; computational science; computational engineering.

DOI: 10.1504/IJCSE.2018.094416

International Journal of Computational Science and Engineering, 2018 Vol.17 No.1, pp.25 - 33

Received: 24 Dec 2015
Accepted: 18 Mar 2016
Published online: 03 Sep 2018 *

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