Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Complex physicochemical environmental effects result in the underwater species images'
highly intricate and diverse backgrounds, which poses significant challenges for identifying …

The development and effective compliance of efficient fishing policies that guarantee both
the sustainability of marine resources and fishing activity is one of the main challenges that …

Featured Application In the future, the application of this study is very feasible and very close
to being implemented for the auto-sorting system for various fish or other objects, in the fish …

Seafood being one of the major source of omega-3 fatty acid, is widely consumed around
the world, thus at the same time affects baby-growth due to high mercury. Therefore, an …

Artificial intelligence (AI) is revolutionizing biodiversity research by enabling advanced data
analysis, species identification, and habitats monitoring, thereby enhancing conservation …

With the availability of low-cost and efficient digital cameras, ecologists can now survey the
world's biodiversity through image sensors, especially in the previously rather inaccessible …

This study addresses the challenge of accurately identifying fish species by using machine
learning and image classification techniques. The primary aim is to develop an innovative …

Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …