Knowledge Based System for Apple Problems Using CLIPS

International Journal of Academic Engineering Research (IJAER), 3(3), 1-11, March 2019

11 Pages Posted: 8 May 2019

See all articles by Mohammed Al-Shawwa

Mohammed Al-Shawwa

Al-Azhar University, Gaza

Samy S. Abu-Naser

Al-Azhar University, Gaza

Date Written: March 2019

Abstract

It is a plant species that follows the apple genus, which is a fruit because it contains seeds of the pink family. It is one of the most fruit trees in terms of agriculture. The apple tree is small in length from 3 to 12 meters. Several recent studies have shown many health benefits of apples. It helps with the strengthening of the brain, heart, and stomach. It is used in the treatment of joint pain and limberness. It is opposite. It stops vomiting. It goes to dyspnea. It corrects the liver, purifies the blood of toxins, strengthens the heart muscle, and kills the abdominal dentures. Which are richer in cell nutrition and development, bone strengthening and neuronal regeneration is an important source of detoxification. Viruses, bacteria, and microbes in the body.

Objectives: The main objective of this expert system is to assist farmers in detecting apple diseases and solutions.

Method: In this paper, the proposed expert system was design and developed to help farmers diagnose many apple diseases such as: Apple scab, Black rot canker, Powdery mildew, Core rot, Brown rot, White rot / root rot Seedling blight. The proposed system of experts provides an overview of apple diseases identifies the cause of disease and treats the disease whenever possible. The language of the expert system was used to design and implement the proposed expert system.

Results: A proposed expert system for the diagnosis of apple diseases was presented to group of farmers for evaluating it and they were satisfied with its performance.

Conclusions: The proposed expert system is extremely useful for farmers to diagnose and treat apple diseases whenever possible.

Keywords: Artificial Intelligence, Expert Systems, CLIPS, Apple Disease

Suggested Citation

Al-Shawwa, Mohammed and Abu-Naser, Samy S., Knowledge Based System for Apple Problems Using CLIPS (March 2019). International Journal of Academic Engineering Research (IJAER), 3(3), 1-11, March 2019, Available at SSRN: https://ssrn.com/abstract=3368988

Mohammed Al-Shawwa

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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