Fuzzy Logic Expert System for the Diagnosis of Chili Diseases
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2018, Vol 20, Issue 6
Abstract
Chilli plant is one of the major cash crop in the world, many economy depends on its production. Chilli farmer has lost a lot of their crop due to diseases which in return causes farmers to loss lot of money and time such Chilli disease includes grey Mould, Bacterial soft/wilt, pepper mosaic virus, Anthracnose, Damping off, Chilli Wilt, Basal stem rot etc. The symptoms sometimes can be very difficult to identify by a human expert which often leads to the death of the chill plant. The goal of this research is to develop a Fuzzy logic system for diagnosing various types of Chilli plant diseases, and also to illustrate the architecture of fuzzy logic system. The knowledge base system holds the symptoms for Chilli diseases and a sequence of methodical and analytical decision steps that enhance the quality and meaning of the logic. The system eliminates the uncertainties often associated with human expert. The software used for the development of necessary Graphical User interfaces (GUI), for fuzzy modeling, fuzzy inference system editor, membership function editor, rule editor, rule editor, rule viewer and surface viewer is MATLAB. The system has been tested by some domain experts
Authors and Affiliations
Amosa Babalola, Ateko Busayo, Ugwu Jennifer, Adegoke Moses
Keywords
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- EP ID EP409210
- DOI 10.9790/0661-2006015264.
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