Over the last few years, several research works have been performed to monitor fish in the
underwater environment aimed for marine research, understanding ocean geography, and …

Fish classification leads to the automated machine-based fish separation system. In terms of
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …

Fish species Fine-Grained Visual Classification (FGVC) is important for ecological research,
environmental management, and biodiversity monitoring, as accurate fish species …

The monitoring of fish in their natural habitat plays a crucial role in anticipating changes
within marine ecosystems. Marine scientists have a preference for automated, unrestricted …

Monitoring is essential for efficient management of marine protected areas (MPAs) but often
limited financially. Using low-cost stereo baited remote underwater video, we evaluated …

The availability of data is limited in some fields, especially for object detection tasks, where it
is necessary to have correctly labeled bounding boxes around each object. A notable …

ABSTRACT A deep learning approach, also known as deep machine learning or deep
structure learning, has recently been found to be successful in categorizing digital images …

Aquaculture is being used to a greater extent for conservation goals, such as species
recovery, habitat restoration, and mitigating the effects of wild capture on harvested species …

Fish classification leads to the automated machine-based fish separation system. In terms of
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …