Design and Development of Web based Fuzzy Expert System for Diseases Diagnosis in Horticulture Sector: A Case Study of Flower Rose

Abstract

Abstract
The internet provides a platform for research and development of intelligent software applications. This paper suggests a new approach for inculcating intelligence in the computational system for diagnosis of diseases in plants of horticulture domain. In this paper, a web-based expert system is designed and developed. The need of horticulturists changes according to region of a country so it is very necessary to update knowledge base according to requirement of horticulturists of that region. The horticulturists have different queries according to domain. So in view of this problem, a knowledge management platform is introduced which help the horticulturist to find the solutions of their queries. A Framework using Knowledge management is devised and implemented. A previously proposed model for information mining from internet has been shortened into this platform to make it richer in knowledge base. This expert system works on the principle of a new fuzzy logic approach using Euclidean distance method. The expert system also incorporates new feature that improve the presently existing expert systems. The additional features are (i) Development of knowledge management platform (ii) Static and Dynamic knowledge base (iii) Audio based GUI (iv) video guidance interface. At last a case study of flower rose is discussed.

Keywords: web, fuzzy expert system, knowledgebase, diseases, knowledge management platform