International Journal of Academic and Applied Research (IJAAR)
  Year: 2022 | Volume: 6 | Issue: 5 | Page No.: 237-248
Proposed Expert System for Pear Fruit Diseases Download PDF
Hadeel A. El-Hamarnah, Ola I. A. LAfi, Hanan I. A. Radwan, Yasmin E. Aslem, Nora J. H. Al-Saloul and Samy S. Abu-Naser

Abstract:
There is no doubt that plant diseases are numerous in the world of agriculture. These diseases cause a lot of trouble to most farmers who take the craft of agriculture as their daily sustenance. Among these common diseases, we single out the diseases that affect the pear fruit, which is affected by about eleven diseases, with different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses pear diseases using CLIPS Expert System language The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of pear-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose pear-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 11 diseases that affect pear and the eleven diseases are: Scab, Seedling blight, Crown gall, White root rot, Collar rot, Powdery mildew, Leaf spot, Canker, Viral diseases, Phytoplasma disease, Bitter rot. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing pear diseases is effective and usable.