A Web-Enabled Fuzzy Expert System Shell for Flower Rose

Abstract

ABSTRACT
This paper presents a proposed expert system shell ROSEX. ROSEX deals with horticulture domain mainly for flower rose. The objective of development ROSEX is to facilitate farmers who involved in horticulture sector to provide complete details about variety, soil, temperature, environment, diseases and pests related to rose flower. We apply live data which was gathered from district headquarter of horticulture, Baghpat (Uttar Pradesh) India. For implementation, a fuzzy based technique is used ascertaining possible diseases on observed various
symptoms. Positive and negative symptoms are taken into consideration. Using membership degree and weight set for a symptom of disease, Euclidean distance method was used. Technology used in development of ROSEX is ASP.NET, C# and SQL Server 2005. Finally, we compare the result of this system with manual result to show the performance, reliability and accuracy.

Keywords: Diseases, Expert System, Knowledge base, Pests