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Sunday, 21 February 2021

Artificial Intelligence Techniques in Fisheries Science


                             Artificial Intelligence and  Fisheries Science


Artificial Intelligence and Fisheries  

What is Artificial Intelligence(AI)? 

In computer science, artificial intelligence (AI) is also known as machine intelligence, is machine-confirmed intelligence, as opposed to human-demonstrated natural intelligence for the purpose of not only detecting captured fish, but also tracking dead zones and sea current and analyzing emissions.

Classical thinkers may be drawn to the early phases of contemporary artificial intelligence to explain human thought as a symbolic framework. Until 1956, the word "artificial intelligence" was first developed at Dartmouth College in New Hampshire, USA, in a field of artificial intelligence that was not well recognized.

Artificial Intelligence (AI) by extension means ‘the future built from the bits of past’. There are initiatives that learn new solutions through experience. In a number of areas, AI has been applied, from agriculture to full automation in industries. The fisheries sector can expand rapidly through AI and production can be multiplied in a short period of time as it makes aquaculture a less labor-intensive sector.

AI Tools and Applications in Fisheries

·       Data base management system:  

      It is a data collection system of fisheries like as item organized and in use.

·      Application   software: 

    Artificial intelligence software is managing the data collected by systematically for use and compares the data for research.

·   Geographical information: 

     Production maintenance and updating of distribution maps of marine species of commercial importance.

·         Satellite optical.

·         E-logbook: log records which keep track of catches (origin and volume) and gear used.

·         It is used to reduce waste food by using sensor to detect hunger and by controlling release the right amount of food.

Uses of Artificial Intelligence

·         Biomass estimation

·         Visual health and quality inspection

·         Pellet detection

·         Optimizing feed efficiency

·         Modeling the environmental impact of fishing activity by regulating the fishing zones

Drones in Aquaculture

·         Drones also offer application for aquaculture both above and below the water.

·         Drones can be utilized for monitoring offshore fish farms.

·         Inspecting underwater cages for damage of holes.

·         Apium Swarm Robotics use drones to survey the ocean and provide analysis through the use of sensor technology.

·         Drones are also able to collect information (fish stock analysis and environmental tacking) that can be used to create algorithms that further develop the technology or applications available in the production of aquaculture.

Umitron Cell

Umitron cell is smart feeding system for aquaculture, and the world’s first real time ocean-based fish application detection system.

Routine Checkup of Stocks

Vision-based sensors on Artificial Intelligence systems allow it conceivable for cultured animals to analyze swimming habits, height, accidents, etc. Such data is processed in order to be compared in the future. Xpertsea is an aquaculture engineering company that compromises an AI system named Xpercount that relates to weigh, count, photograph, and size shrimp in seconds for machine learning and camera. This gathered data are analyzed for the periodic health of stock to be detected.

Robots Farm our fish 

Robotic cages, called aquapods, such as the sea station by InnovaSea.Aquapod is a free floating fish farm that can accommodate several hundred or several thousand fish.

Fish seed screening

Fish seed screening identification and selection of healthy fish seed is very important in fish farming. Often it become laborious and need to employ many workers for screening of healthy fish seed.

Sensors for aquaculture

·         Drones and robots use sensors to navigate underwater and collect data such as water pH, salinity, oxygen levels, turbidity, and pollutants.

·         Analysis of oxygen level and water temperature.

Internet of things(IOT)

·         IOT is the technological revolution of computing and communications that creates the robot capable of performing tasks, as assigned by a remote user or that transfers information obtained through sensors to producers for analysis on smart phones.

·         Monitoring DO level

·         Monitoring pH values

·         Water management.

·         Monitoring fishes behaviors using Digital image processing applications

Image processing for monitoring fishes

·         Capturing the images of fishes with water proof cameras.

·         Enhancing the images using digital image processing techniques.

·         Observing the movements, populations of fishes, their productivity etc.

Great advancements are being made in mechanized fisheries with the use of artificial intelligence, with full automation still a long way off. However, fully engaging in Artificial Intelligence plus robotics will generate considerably more seafood to feed the rising population while reducing the expense and environmental footprint. Even though AI is known, full automation is not yet accessible. Scientists are focusing on technologies that can act in that phase without human intervention. With almost 95% precision inn operations, AI aquaculture farms can be operated and managed in a much simpler way. If AI is used in a proper manner, production of aquaculture products will increase quickly.

                                                       Figure: 1E-Fishery Sensor Technology

Credit of Writing: Last year students of the Faculty of Fisheries- Kashmir ( Mehran, Burhan, Fallah, Rigio, Simrah, Aali gul, Ashutosh, Jeffrin, Murtaza, Bakhtiyar, Inam, Rizwan, Umer, Arshi, Nazia,  Samreena)

Tags: Artificial Intelligence and  Fisheries Science, AI and Aquaculture . 

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