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.