Title :
Expert system for diagnosis of Discus fish disease using fuzzy logic approach
Author :
Novita Hanafiah;Kelvin Sugiarto;Yulius Ardy;Ruben Prathama;Derwin Suhartono
Author_Institution :
Computer Science Department, Bina Nusantara University, Jakarta, 11480, Indonesia
Abstract :
Discus fish is a favourite fish because of its beauty and unique characteristic, ranging from a variety of style, colour and shape. This fish has become one of the profitable business opportunities for fish farmers, mainly for export to overseas because the price is quite expensive. However, Discus fish is difficult to maintain since it is susceptible to various diseases. An expert system application utilizing fuzzy logic is presented to resolve this problem by diagnosing diseases of the discus fish. It is expected to help beginner fish farmers to detect the disease in the earliest time. Besides diagnosing, this desktop-based application can be exploited to get more information about the diseases in order to prevent and treat the Discus fish. The algorithm shows a good result which achieves 90.32% of accuracy.
Keywords :
"Diseases","Expert systems","Fuzzy logic","Clouds","Artificial neural networks"
Conference_Titel :
Computer and Communications (ICCC), 2015 IEEE International Conference on
Print_ISBN :
978-1-4673-8125-3
DOI :
10.1109/CompComm.2015.7387540