Open AccessComputer Vision and Fuzzy Logic for Sustainable Indonesian Fisheries
Author(s) -
Suryadiputra Liawatimena,
Wiedjaja Atmadja,
Bahtiar Saleh Abbas,
Agung Trisetyarso,
Antoni Wibowo,
Erland Barlian,
Lilik T. Hardanto,
Adi Saputra,
Putri Sakinah,
Hery Purwoko,
Indra Zulardi
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 - 10.1088/1755-1315/426/1/012154
Subject(s) - fishery , fuzzy logic , fishing , indonesian , tuna , fish <actinopterygii> , global positioning system , fisheries management , computer science , geography , business , artificial intelligence , telecommunications , biology , linguistics , philosophy
Tuna fishing in Indonesia is excessive and if left unchecked, some types of tuna will become extinct within 3-10 years. There is an urgent need to help MMAF for producing more accurate fish catches data. This paper proposed a system that utilizes computer vision, fuzzy logic and Global Positioning System (GPS) for supporting a sustainableIndonesian fishery by recognizing and measuring fish length, determine fish age and where is the catch location. The system can help authority to manage sustainable fisheries management in Indonesia.