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Plant Disease Diagnosis Expert System Cardamom (Ammomum Cardamomum l.) Using The Naive Bayes Method Web-Based
Author(s) -
Calvin Berkat Iman Hulu,
Hengki Tamando Sihotang
Publication year - 2022
Publication title -
jurnal mandiri it
Language(s) - English
Resource type - Journals
eISSN - 2809-1884
pISSN - 2301-8984
DOI - 10.35335/mandiri.v10i2.94
Subject(s) - expert system , naive bayes classifier , bayes' theorem , bayesian network , artificial intelligence , plant disease , machine learning , computer science , probabilistic logic , blight , bayesian probability , biology , botany , microbiology and biotechnology , support vector machine
Diseases and pests on cardamom plants is one of the diseases and pests that can seriously attack cardamom plants. Cardamom plant diseases and pests can be diagnosed through the symptoms that are currently being experienced by the cardamom or through its clinical picture, through these symptoms an expert system can be made to make a diagnosis. An expert system is a system that seeks to adopt human knowledge to a computer that is built to solve problems like an expert. The expert system made in carrying out the diagnosis uses the Naïve Bayes method. This method is a simple probabilistic-based prediction technique based on the application of Bayes' rules with the assumption of strong (naive) independence. In other words, in Naïve Bayes the model used is an “independent feature model”. This expert system was built using PHP and MySQL programming as a database. In this expert system the types of cardamom disease diagnosed consisted of aphids, leaf-eating caterpillars, stem borers, fruit and roots, leaf beetles, mosaics, late blight, root rot, and fungus, which consisted of 33 symptoms. While the results of the diagnosis will inform about the results of the diagnosis containing a list of symptoms entered, information on the results of regulations regarding diseases and pests that are attacking cardamom plants and information about possible treatments that can be carried out and treatment solutions.

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