An Expert System for Diagnosing Sugarcane Diseases

International Journal of Academic Engineering Research (IJAER), 3(3), 19-27, March 2019

9 Pages Posted: 8 May 2019

See all articles by Abeer A. Elsharif

Abeer A. Elsharif

Al-Azhar University, Gaza

Samy S. Abu-Naser

Al-Azhar University, Gaza

Date Written: March 2019

Abstract

Sugarcane is one of the most important crops in the world, growing in tropical and subtropical conditions. The crop is economically important due to its industrial potential in terms of products such as crystalline white sugar. Sugarcane is a long-term crop of 10-18 months but diseases are the main concern of Sugarcane, responsible for low yield. The aim is to diagnose diseases in a timely manner to reduce losses. In this research, we proposed an expert system for the diagnosis of sugarcane diseases using CLIPS and Delphi languages and it was tested by a group of farmers interested in producing sugarcane crops and found it to be very useful. The Expert System is of generic nature and can be used in other crop environment with changes in the knowledge base.

Keywords: Sugarcane, Clips, Expert System, Diseases

Suggested Citation

Elsharif, Abeer A. and Abu-Naser, Samy S., An Expert System for Diagnosing Sugarcane Diseases (March 2019). International Journal of Academic Engineering Research (IJAER), 3(3), 19-27, March 2019. Available at SSRN: https://ssrn.com/abstract=3369014

Abeer A. Elsharif

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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