Integrating expert system with a full-text search to solve growers' problems

This paper proposes a new approach to find the most relevant solution for growers' problems. The proposed approach utilized the full-text search of Microsoft SQL Server to index and search growers' problems. Also, it integrates the expert system with the result of full-text search by annotating the results with tips for more information, in addition to indexing the knowledge base and applying full-text search on it. We applied the proposed approach in VERCON's growers' problems module; this module contains a database of growers' problems for different crops. The experiments have been applied on wheat, a dataset of 874 problems. The results clearly indicate that the proposed approach is capable to retrieve the most relevant solution at the top 5 rankings with a high degree of accuracy.