Open AccessDevelopment of Fish Separator Conveyor based on Fish Identification System
Author(s) -
Muhammad Rangga Dzulfiqar Agung,
Adrian Adhe Elian,
Winda Astuti,
Muhammad Nurul Puji
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/426/1/012163
Subject(s) - fishery , fishing , separator (oil production) , fish processing , marine fish , environmental science , fishing industry , fish <actinopterygii> , artificial neural network , marine engineering , computer science , engineering , artificial intelligence , biology , physics , thermodynamics
Indonesia as the largest archipelago and maritime country in the world has a very large marine resources. Fish is one of the marine wealthties (marine biota), which have large numbers in Indonesia. Fishermen is an important role in the process of fishing, however fish caught by fishermen are often mixed with other types of fish. Currently, the process of fist separation is done manually, which takes longer time and many error occur due to fatigue. In this work the conveyer separator based on the fish identification system is developed. The fish conveyer separator is designed and developed. The fish identification system is based on Fast Fourier Transform (FTT) technique and Artificial Neural Network (ANN). The system is working properly, since it resulting the training and testing accuracy of 80% and 66%, respectively.