Marine Resources: Identification, Restoring, and Monitoring of Fisheries Food Resources Using Deep Learning and Image Processing

Nature provides strength to people, and the ocean is one that is important. In the ocean, various resources are available to both nature and people. One such priceless resource is fish. Many varieties of fish are available in the sea. Seafood (fish and crab) is a healthy food for enhancing people’s health. But, nowadays so much offshore drilling for natural oil and gas production creates a huge destructive impact on marine resources, not only offshore due to other human mistakes spoiling the marine resources, especially fish. For this reason, we can save our marine resources with the help of new computer technology (artificial intelligence, deep learning, image processing). Aquaculture is one of the industries that currently frequently uses deep learning-based evaluation of images. Integrating an undersea time-lapse image camera with image analysis based on deep learning, we proposed this abstract for marine resources especially fish resources, first and foremost identify the fish, which means a variety of fish classified, then restoring the particular species, and eventually monitoring the movements under the sea. Optical cameras have been employed as a quick and affordable aquaculture technique for monitoring fish populations and detecting marine species. The photographs utilized in this research came from a variety of cameras; therefore, the pixels and size ratios varied. Additionally, it would be computationally expensive and ineffective to process the entire image. To eliminate the additional computational load, it was decided to crop the photographs to a uniform size. For millions of years, eating aquatic animals—especially fish—has been a key element of human nutrition. It is widely acknowledged that fish is an excellent provider of vital elements, such as proteins and vitamins. If the above technologies are utilized effectively, we can save our marine resources forever.