Fish species classifiction is an important task for biologists and marine ecologists to
frequently estimate the relative abundance of fish species in their natural habitats and …

Abstract Machine learning, a subfield of artificial intelligence, offers various methods that can
be applied in marine science. It supports data-driven learning, which can result in automated …

Due to low labor participation by young adults and an aging agricultural population, Taiwan
and the rest of the world are facing labor shortages in agriculture, which will affect …

Underwater fish species recognition has gained importance due to the emerging researches
in marine science. Automating the fish species identification using technology would help …

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …

Fish classification and detection in the wild remains an unsolved problem due to the
variation of pose, uncontrolled environmental conditions and the limited amount of training …

Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and
humans have been consuming fish for centuries to meet their protein and nutritional …

In fishery acoustics, surveys using sensor systems such as sonars and echosounders have
been widely considered to be accurate tools for acquiring fish species data, fish species …

One of the leading causes of overfishing is the catch of unwanted fish and marine life in
commercial fishing gears. Echosounders are nowadays routinely used to detect fish schools …

Assuring the quality of water is crucial for the growth and survival of fish in aquaculture
ponds. Traditional methods of water quality monitoring can be inefficient which makes real …