Oceans constitute over 70% of the earth's surface, and the marine environment and
ecosystems are central to many global challenges. Not only are the oceans an important …

The Ocean Aware project, led by Innovasea and funded through Canada's Ocean
Supercluster, is developing a fish passage observation platform to monitor fish without the …

Morphological based fish species identification is an erroneous and time-consuming
process. There are numerous fish species and due to their close resemblance with each …

A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

Automated monitoring and analysis of fish's growth status and behaviors can help scientific
aquaculture management and reduce severe losses due to diseases or overfeeding. With …

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 …

There is a need for automatic systems that can reliably detect, track and classify fish and
other marine species in underwater videos without human intervention. Conventional …

Fish school feeding behavior analysis based on images can provide important information
for aquaculture managers to make effective feeding decision. However, it is a challenging …

Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …