DEVELOPMENT OF A RULE-BASED EXPERT SYSTEM FOR THE IDENTIFICATION OF COMMON TERRESTRIAL AND AQUATIC PLANTS
DIPO THEOPHILUS AKOMOLAFE *
Department of Mathematical Sciences, Olusegun Agagu University of Science and Technology, Okitipupa, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
The advancement in technology in this era has given rise to the development of many expert systems to substitute and aid experts and non-experts in the accomplishments of various tasks. This, however, gave birth to this research as it stands out in the design and development of an expert system to help in the identification of some common terrestrial and aquatic plants to aid users in gaining and affirming taxonomic and botanical origins in the identification process. The design of this expert system takes advantage of architecture for the construction of expert systems in the rule-based domain. The information gathered in the heuristic and tacit form was analysed and operated upon based on the taxonomical morphology used in the identification of some common\selected plants and its certainty score and then turned to rules for easy programming.
The system was developed using Microsoft .Net Framework 4.5.2 (C#, Telerik framework, Chen0040 cs expert shell Nugget, Aforge Framework) due to their robustness and large support group. The system was successfully tested and evaluated using real life data.
Keywords: Expert system, leghaemoglobin, haemoglobin, inference engine, knowledge base, haemoprotein, holoprotein