Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

Aquaponics is an innovative, smart, and sustainable agricultural technology that integrates
aquaculture (farming of fish) with hydroponics in growing vegetable crops symbiotically. The …

A toolset supporting fish detection, orientation, tracking and especially morphological feature
estimation with high speed and accuracy, is presented in this paper. It can be exploited in …

Citizen science platforms, social media and smart phone applications enable the collection
of large amounts of georeferenced images. This provides a huge opportunity in biodiversity …

Fishing vessels need to adapt to and mitigate climate changes, but solution development
requires better information about the environment and vessel operations. Even if ships …

A smart detection and recognition model for the species of a fish from camera footage is of
urgent requirement as fishery contributes to a large portion of the world economy and these …

Accurate identification of marine species is essential for ecological monitoring, habitat
assessment, biodiversity conservation, and sustainable resource management. To address …

Uncertainty in stock assessment can be reduced if accurate and precise length composition
of catch is available. Length data are usually manually collected, although this method is …

Supervision of marine ecosystems is paramount for understanding and conserving
underwater biodiversity. Due to the latest advancements in the field of neural networks and …

There is a clear distinction in the feeding habits of fishes between the northeastern and
southeastern Arabian Sea (west coast of India)—the north is carnivorous, and the south is …