International Journal of Academic Engineering Research (IJAER)   Year: 2019 | Volume: 3 | Issue: 3 | Page No.: 19-27 An Expert System For Diagnosing Sugarcane Diseases Abeer A. Elsharif, Samy S. Abu-Naser 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.