Digital Twin technology has emerged to become a key enabling technology in the ongoing
transition into Industry 4.0. A Digital Twin is in essence a digital representation of an asset …

Object recognition and computer vision techniques for automated object identification are
attracting marine biologist's interest as a quicker and easier tool for estimating the fish …

Automatic identification of fish species is very complex and challenging because of the low
quality of the marine environment. Thus, the identification of fish species using computer …

In an automated demand feeder system, underlining the parameters that contribute to fish
hunger is crucial in order to facilitate an optimised food allocation to the fish. The present …

From literature reviews, the marine environment influences the quality of underwater images
and makes the identification of fish species more complex and challenging. The images of …

The characteristics of the underwater environment affect the quality of underwater images.
The low image resolution is one of major problems in the identification of fish species during …

Due to the complex background and biodiversity of underwater biological images makes the
identification of marine organisms difficult. To solve these above problems, we propose a …

To date, the aquaculture industry in the Philippines is coping through the utilization of
innovative technological solutions to attain sustainability in aquaculture practices, such as …

Fish freshness is a significant factor in deciding if the fish is still safe for consumption or not.
When the fishes are not adequately inspected before distributing them to the consumer, it …

In this study, the Graph Neural Network is a new deep learning algorithm, just like
Convolutional Neural Network. This study aims to classify the ripeness of avocado using …