With the emergence of the Internet of Things (IoT), there has been an exponential growth in the number of sensors and the data streams they produce. This sensor data is being used in a wide range of primary industries in Australia to enable smarter decisions at many levels of production. This data is only useful if it is accessible to decision makers in a timely manner. This paper examines how a framework that is applicable across multiple domains can be developed to enable rapid development of decision support tools. This aims to avoid development duplication and enable businesses to save time and money. The framework is aimed at rapidly producing Decision Support Systems (DSS) that can aggregate heterogeneous data streams into a single flexible architecture and visualize the data in a way that assists experts to make decisions.
History
Publication title
Journal of Computers
Volume
14
Issue
5
Pagination
339-348
ISSN
1796-203X
Department/School
School of Information and Communication Technology
Publisher
Academy Publisher
Place of publication
Finland
Rights statement
Copyright 2019 JCP, Journal of Computers
Repository Status
Restricted
Socio-economic Objectives
Electronic information storage and retrieval services; Information systems, technologies and services not elsewhere classified; Harvesting and transport of forest products