Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

UF Mustapha, AW Alhassan, DN Jiang… - Reviews in …, 2021 - Wiley Online Library
Each year, there is a significant rise in demand for global food production due to population
increase and a rise in demand for protein food sources. This puts pressure on capture …

[HTML][HTML] Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision

TTE Vo, H Ko, JH Huh, Y Kim - Electronics, 2021 - mdpi.com
Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …

Automatic segmentation of fish using deep learning with application to fish size measurement

R Garcia, R Prados, J Quintana… - ICES Journal of …, 2020 - academic.oup.com
One of the leading causes of overfishing is the catch of unwanted fish and marine life in
commercial fishing gears. Echosounders are nowadays routinely used to detect fish schools …

Estimation for fish mass using image analysis and neural network

L Zhang, J Wang, Q Duan - Computers and Electronics in Agriculture, 2020 - Elsevier
It is of great significance to accurately estimate the fish mass in their different growth stages
for achieving reasonable feeding, promoting healthy growth and improving breeding …

Intelligent fish feeding based on machine vision: A review

L Zhang, B Li, X Sun, Q Hong, Q Duan - Biosystems Engineering, 2023 - Elsevier
Highlights•Recent advances of intelligent fish feeding based on machine vision are
summarised.•The key technologies involved in intelligent fish feeding are introduced.•It …

Automatic weight estimation of harvested fish from images

DA Konovalov, A Saleh, DB Efremova… - 2019 Digital image …, 2019 - ieeexplore.ieee.org
Approximately 2,500 weights and corresponding images of harvested Lates calcarifer (Asian
seabass or barramundi) were collected at three different locations in Queensland, Australia …

Advanced techniques for the intelligent diagnosis of fish diseases: A review

D Li, X Li, Q Wang, Y Hao - Animals, 2022 - mdpi.com
Simple Summary The automatic diagnosis of fish diseases is an important task in smart
aquaculture, and plays a key role in detecting fish conditions, understanding disease signs …

[HTML][HTML] Phenotyping and phenomics in aquaculture breeding

G Fu, Y Yuna - Aquaculture and Fisheries, 2022 - Elsevier
Due to the availability of genomic resources, including whole genome sequences and
numerous DNA markers in some aquaculture species, genetic improvement of important …

Autonomous underwater vehicles: Identifying critical issues and future perspectives in image acquisition

A Monterroso Muñoz, MJ Moron-Fernández… - Sensors, 2023 - mdpi.com
Underwater imaging has been present for many decades due to its relevance in vision and
navigation systems. In recent years, advances in robotics have led to the availability of …

Alternative therapies recently applied in controlling farmed fish diseases: mechanisms, challenges, and prospects

MY Elgendy, SE Ali, AA Dayem, RH Khalil… - Aquaculture …, 2024 - Springer
The aquaculture industry is suffering from significant financial setbacks due to an increasing
frequency of disease outbreaks, posing a threat to the sector's sustainability. Various …