Work

Drones Computer Vision using Deep Learning to Support Fishing Management in Indonesia

Year: 2020
Type: conference-paper
Abstract: It is necessary to study technical factors such as bait used, oceanographic conditions of fishing areas and skipjack tuna trade patterns (Katsuwonus pelamis) as well as other factors in Sulawesi Fisheries. Supporting data to study these technical factors need to be obtained so that it can be improved throughout the year as a skipjack fishing standard with weights taken by the skipjack weights. Therefore, drones and underwater drones with cameras with high-resolution video and images to be fed and processed by computer vision. These drones are operated via Huhate ships which are then used to test efficient technical factors as expected, can be used in determining the size, shape, and colour as well as the analysis of skipjack fish that are in the Fish Aggregating Devices (FADs or Rumpon) in order to manage the management of fisheries managed in Indonesia.
Institution: Binus University
Language: English
Open Access status: diamond
OpenAlex ID: W3011566499
FWCI: 1.941
Cites: 11
Cited by: 5
Related to: 10