Banana Knowledge Based System Diagnosis and Treatment

International Journal of Academic Pedagogical Research (IJAPR), 2(7), 1-11, July 2018

11 Pages Posted: 9 Aug 2018

See all articles by Hamza Rafiq Almadhoun

Hamza Rafiq Almadhoun

Al-Azhar University, Gaza

Samy S. Abu Naser

Al-Azhar University, Gaza, Palestine

Date Written: July 25, 2018

Abstract

This research involved the design of an initial expert system which helps farmers and specialists diagnose and provide appropriate advice on banana diseases. The management of knowledge used in the expert system was also discussed. One of the key elements of this research was to find the appropriate language to diagnose the disease and the current situation in the knowledge base. Expert systems enable effective consultation. Production rules were used to capture knowledge. The expert system was developed using CLIPS with the Delphi 10.2 as user interface. The expert system produced good results in analyzing cases of tested banana disease and enabling the system to determine the correct diagnosis in all cases.

Keywords: Knowledge Based System; Banana; Diagnosis; Treatment

Suggested Citation

Almadhoun, Hamza Rafiq and Abu Naser, Samy S., Banana Knowledge Based System Diagnosis and Treatment (July 25, 2018). International Journal of Academic Pedagogical Research (IJAPR), 2(7), 1-11, July 2018, Available at SSRN: https://ssrn.com/abstract=3219792

Hamza Rafiq Almadhoun

Al-Azhar University, Gaza ( email )

Jamal A. El Naser St.
Gaza, P.O. Box 1
Palestine

Samy S. Abu Naser (Contact Author)

Al-Azhar University, Gaza, Palestine ( email )

Jamal A. El Naser St.
Gaza, P.O. Box 1
Palestine

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