The identification and counting of fish are relevant tools used for stocking, harvesting, and
marketing management of farmed fish. The use of convolutional networks has been used for …

The aim of this paper is to present automated fish fingerlings counting using image
processing technique and to investigate the effectiveness of Convolutional Neural Network …

Simple Summary Artificial intelligence tools, such as convolutional neural networks, are
used in tracking and counting animals, species identification, and measurement of …

Fish production has become a roadblock to the development of fish farming, and one of the
issues encountered throughout the hatching process is the counting procedure. Previous …

The statistics of harvested fish are key indicators for marine resource management and
sustainability. Electronic monitoring systems (EMSs) are used to record the fishing practices …

Fish production has become a roadblock to the development of fish farming, and one of the
issues encountered throughout the hatching process is the counting procedure. Previous …

In this research, our goal is to develop an automated system using Convolutional Neural
Networks (CNNs) for recognizing fish species, thereby enhancing biodiversity monitoring …

We conducted an extensive and robust analysis of 28 convolutional neural networks (CNN)
based methods for the detection and counting of tilapia larvae (Oreochromis niloticus …

The process of quantifying fish populations holds significant value in the realm of fisheries
management, as it enables a precise evaluation of population sizes and facilitates …

Classification is one of the primary data science tasks involving large datasets. To date, fish
species classification in the Philippines is considered significant for further aquaculture and …