A Rule Based System for the Diagnosis of Coffee Diseases

International Journal of Academic Information Systems Research (IJAISR), 3(3), 1-8, March 2019

8 Pages Posted: 8 May 2019

Date Written: March 2019

Abstract

Coffee beans are grown in more than 60 countries. The coffee tree is different from the rest of the trees in terms of the climate it needs to grow. This affects the taste of the grain. In order to produce the fruit tree, it takes 3 to 5 years to start the production process. Arabic coffee is considered one of the best and best coffee types in the world, for several reasons, the most important of which is the volcanic mountainous soil rich in nutrients necessary for the better growth of this tree, giving it a taste more aromatic than the other. The coffee tree has many diseases that threaten its production. In this research, we proposed an expert system for diagnosis of coffee tree diseases and this system of experts was designed and implemented using CLIP. A group of farmers, people interested in coffee tree production and agricultural teachers tested the proposed system of experts and found it very useful.

Keywords: Expert System, CLIPS, Coffee, Diseases

Suggested Citation

Abu Mettleq, Alaa Soliman and Abu-Naser, Samy S., A Rule Based System for the Diagnosis of Coffee Diseases (March 2019). International Journal of Academic Information Systems Research (IJAISR), 3(3), 1-8, March 2019. Available at SSRN: https://ssrn.com/abstract=3369019

Alaa Soliman Abu Mettleq

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 ( email )

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

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