A Model of Visual Intelligent System for Genus Identification of Fish in the Siluriformes Order
Ambiguity in the fish naming is present in several fish species database, especially for fish in Siluformes order. To fix the ambiguity, a visual intelligent system is needed to automate the fish naming correction in the database. In this study, we developed a deep learning based model as the core of the intelligent system. The proposed model achieved 89% accuracy for the classification of three genera in Siluformes order: Mystus, Hemibagrus, and Glyptothorax.
International Conference on Eco Engineering Development 2020
Taufik Budhi Pramono, Ardharyan Islamy, Saprudin, Joni Johanda Putra, Teddy Suparyanto, Kartika Purwandari, Tjeng Wawan Cenggoro, and Bens Pardamean