Fish disease detection system using fuzzy logic approach

• Main Author: Muhammad Amri Ambosakka
• Format: Academic Exercise
• Language: English; English
• Published: 2022
• Subjects: Q1-390 Science (General); SH171-179 Diseases and adverse factors
• Online Access: https://eprints.ums.edu.my/id/eprint/33316/1/Fish%20Disease%20Detection%20System%20Using%20Fuzzy%20Logic%20Approach.24pages.pdf; https://eprints.ums.edu.my/id/eprint/33316/2/Fish%20Disease%20Detection%20System%20Using%20Fuzzy%20Logic%20Approach.pdf; https://eprints.ums.edu.my/id/eprint/33316/
• Institution: Universiti Malaysia Sabah

With recent development of technologies, the scale of aquaculture have been growing steadily. One of the biggest problem with a large scale aquaculture operation is the monitoring and detection of disease. Large operation would need expert knowledge or longer time consumption. Traditional diagnosis...