Title: A system architecture for intelligent agriculture based on edge computing

Authors: Li Liu; Qian Wang; Bo-Qun Li

Addresses: Shunde Graduate School of University of Science and Technology Beijing, Beijing, China; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China ' School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China ' School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, Liaoning Province, China

Abstract: Agricultural informatisation has been an extraordinary aspect in the field of agriculture due to advancement in communication technologies. Many studies have been conducted to assist production, such as Wireless Sensor Network (WSN) and Cloud Computing. However, few studies have been focused on the severe requirements of delay and energy consumption of the mobile node. In order to improve network performance, edge computing is introduced into our system architecture for intelligent agriculture. Mobile Edge Computing (MEC) is a distributed computing architecture to offload some tasks to the edge of core network. We adopt a hierarchical structure made of three layers: physical perception layer, information service layer and intelligent application layer. In addition, we further confirm an offloading model for intelligent agriculture. In this article, the state-of-the-art development in intelligent agriculture and current approach of its key technology are discussed. Their potential opportunities and challenges in proposed architecture are presented as well.

Keywords: edge computing; WSN; mobile edge computing; intelligent agriculture.

DOI: 10.1504/IJCAT.2020.111605

International Journal of Computer Applications in Technology, 2020 Vol.64 No.2, pp.126 - 132

Received: 30 Mar 2020
Accepted: 22 May 2020

Published online: 30 Nov 2020 *

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