An Intelligent Decision Support System for Cropland Suitability Evaluation

Authors:
Ilhwan Moon;Samkeun Kim;Young Uhg Lho;Sang C. Suh
Affiliations:
Department of Computer Engineering, Hankyong National University, Anseong, South Korea;Department of Computer Engineering, Hankyong National University, Anseong, South Korea;Department of Computer Education, Silla University, Busan, South Korea;Department of Computer Science & Information Systems, Texas A&M University --Commerce, TX, U.S.A
Venue:
Journal of Integrated Design & Process Science
Year:
2012

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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.