Abstract
This paper describes a Service Oriented Architecture (SOA) based on Web services technology designed to assist producers in precision farming in the implementation of decision tree based Cropland Suitability Evaluation (CSE) decisions. The proposed SOA delivers a recommendation service to carry out CSE. The recommendation service is supported by three components that perform the knowledge discovery process by data extraction (Data Provider), refinement of relevant dataset formats (Data Refinement Assistant) and data-driven estimation of significances-by-attributes (Attribute Evaluator). We also suggest several data extraction functions in knowledge discovery process, the data refinement method transforming naïve candidate datasets into compact and unified ones and the data-driven Attribute Significance Quantification (ASQ) algorithm for quantifying the influence of attributes on the decision tree.
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