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This paper explores the post adjustment of input data from a remote source to fit localised weed prediction for the control and management of weed infestation. The deployment of decision support systems in agricultural sectors often require refinement of its results to adapt to data that has been acquired externally via remote sensing. This paper will detail the fuzzy meta-consequent functions to...
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...
This paper details the implementation of an industrial decision support system (IDSS) application to provide expert advice on weed control and management strategies. Due to the qualitative and subjective nature of the strategies, output based intensively on conventional and numerical data poses a level of complexity that can hinder stakeholders from interpreting the data and applying the results effectively...
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