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A large-scale agro decision support system : framework for (physical) fusion of a multi-input and multi-output hybrid system

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conference contribution
posted on 2017-12-06, 00:00 authored by Andrew ChiouAndrew Chiou, Xinghuo YuXinghuo Yu
This paper explores a large-scale agro decision support system (DSS) framework to facilitate the fusion of (physical) components to allow integration of multi-input and multi-output of a hybrid system. Decision support system in agriculture sectors are often dependant on multiple input sources such as remote sensing, satellite imagery and external databases, requiring different techniques to consolidate the fragmented pieces of data into a cohesive output. The challenge of this is also often compounded by the requirement that the output from such a decision support system to provide multiple outputs. This paper will detail the framework that allows multi-input and multi-output sub-systems to coexist.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Australia, 3-6 December 2007.

Start Page

527

End Page

532

Number of Pages

6

Start Date

2007-01-01

ISBN-10

1424415020

Location

Melbourne, Australia

Publisher

IEEE

Place of Publication

USA

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Faculty of Business and Informatics; School of Electrical and Computer Engineering;

Era Eligible

  • Yes

Name of Conference

Intelligent Sensors, Sensor Networks & Information Processing Conference

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