Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment

International Journal of Academic Engineering Research (IJAER) 6 (5):41-45 (2022)
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Abstract

There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses Custard Apple disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: A specialized syllable language system was established for the diagnosis of Custard Apple plant disease.

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Author Profiles

Samy S. Abu-Naser
North Dakota State University (PhD)
Samir Okasha
University of Bristol

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References found in this work

A Proposed Knowledge Based System for Desktop PC Troubleshooting.Ahmed Wahib Dahouk & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (6):1-8.
Expert System for Castor Diseases and Diagnosis.Fatima M. Salman & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):1-10.
An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
Knowledge Based System for the Diagnosis of Dengue Disease.Aysha I. Mansour & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):12-19.
An Expert System for Arthritis Diseases Diagnosis Using SL5 Object.Hosni Qasim El-Mashharawi, Izzeddin A. Alshawwa, Mohammed Elkahlout & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):28-35.

View all 13 references / Add more references