Design of a mobile app that identifies the fishing activity of vessels in real time

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A multidisciplinary team composed of experts from the University of Huelva, Miguel Hernández University and the Spanish Institute of Oceanography (IEO) has designed an innovative integrated system for monitoring fishing activity based on the use of sensors usually installed in a smartphone to detect in real time and based on the movement of the ship, what type of fishing activity is carried out on board. This information is relevant in the fisheries sector for estimating the quantity of fish in a specific area of ​​the sea and calculating catches.

The novelty of this low-cost app is its easy installation on any mobile device and fast data transmission in real time, in less than a second. Furthermore, as reported in the study entitled “Is the vessel fishing? Discriminating fishing activity with low-cost smart mobile devices through traditional and heuristic approaches”, published in the journal Expert systems with applicationsthis tool allows you to determine with great precision where the ship is, regardless of its size, and how much time it spends fishing.

This mobile app, called FAMIS, provides instant information on the work phase of a ship. In this regard, the time that a vessel spends fishing is a determining factor for the assessment of the fishing effort, that is, to calculate the quantity of catches in a given area and the quantity of fish that can be present in that place in that precise moment.

Current vessel monitoring systems indicate the position of boats over a longer period of time (at least every three minutes or so), require pre-installation on the vessel’s deck and are checked by the relevant fishing authorities.

These are GPS-like tracking systems that send a signal to the ground. “This tool allows us to know the position of a boat, but during its stay at sea we do not know how much time it has spent casting nets, fishing and collecting all the material. The FAMIS app goes further and makes it possible to identify from the movement of the ship which fishing maneuver it is carrying out at all times, “Juan Carlos Gutiérrez Estrada, researcher at the University of Huelva and one of the authors of this study, told the Fundación Descubre.

Experts, specializing in Computer Science, Biology and Marine Sciences, have applied this system because both smartphones and tablets are equipped with integrated sensors that make it possible to identify the movement of the ship from the data they record. “Depending on the type of maneuver (whether the boat is accelerating, pecking, rolling, etc.), the ship has a characteristic movement that is reflected in the accelerometer. They also let us know if the ship is casting the net, fishing or recover his equipment, “says Gutierrez Estrada.

Credit: Fundacion Descubre

Artificial intelligence on board

This system, which sends information as soon as the mobile phone is placed on the deck of the boat, has been tested using different statistical methods and artificial intelligence models based on artificial neural networks and vector support machines. The app displays numerically and graphically on its screen all the information acquired by the various sensors: GPS, accelerometer, gyroscope and magnetic field. The most efficient model will be integrated into the app and will provide information on the activity that the vessel is carrying out in real time.

To demonstrate the usefulness of these sensors, tests were carried out by the research vessel Miguel Oliver on one of its voyages. This 70 meters long and 12 meters wide ship is equipped with technological equipment for navigation and for fishing and oceanographic research. “This boat allows four to six net hauls to be recorded per day and to obtain data under very adverse conditions, given its large displacement and the light weight characteristics of the fishing gear used for sampling,” says the co-author of this study.

According to experts, the model can be used with any type of boat, as it can be calibrated and adapted for use on small boats. “The main advantage of this app for the fishing industry is its ability to count fishing effort, a key parameter for estimating the relative abundance of fish in the sea,” says Gutiérrez Estrada.

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More information:
MM Galotto-Tébar et al, Is the ship fishing? Discrimination of fishing with low-cost smart mobile devices through traditional and heuristic approaches, Expert systems with applications (2022). DOI: 10.116 / j.eswa.2022.117091

Provided by the Fundacion Descubre

Citation: Design of a mobile app that identifies in real time the fishing activity of vessels (2022, 23 September) recovered on 23 September 2022 from -fishing-vessels .html

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