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Section: fshOpen AccessArticle
8 Pages, 5,492 KB 
Landmarking Technique for Improving YOLOv4 Fish Recognition in Various Background Conditions
Abstract:
The detection and classification of fish is a prevalent and fascinating area of study. Numerous researchers develop skills in fish recognition in both aquatic and non-aquatic environments, which is beneficial for population control and the aquaculture industry, respectively. Rarely is research conducted to optimize the recognition of fish with diverse backgrounds. This paper proposes a…
Read More(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Fisheries (FSH))
Open AccessArticle
7 Pages, 1,350 KB
Prediction of Demersal Fishing Ground Associated with Coral Reefs in the Coastal Jepara Regency, Central Java, Indonesia Based on Sentinel 2a Imagery
Abstract:
Map of prediction of fishing ground that already exists in Indonesia issued by the Bali Marine Research and Observation Center (BPOL) and the National Aeronautics and Space Agency (LAPAN) of Jakarta, there are still many weaknesses including the spatial aspect of the point of forecasting far from the coast and the unclear type of fish…
Read More(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Fisheries (FSH))