[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey

A Saleh, M Sheaves, D Jerry, MR Azghadi - Expert Systems with …, 2024 - Elsevier
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Toward an intelligent blockchain ioT-enabled fish supply chain: A review and conceptual framework

S Ismail, H Reza, K Salameh, H Kashani Zadeh… - Sensors, 2023 - mdpi.com
The fish industry experiences substantial illegal, unreported, and unregulated (IUU)
activities within traditional supply chain systems. Blockchain technology and the Internet of …

A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis

A Saleh, IH Laradji, DA Konovalov, M Bradley… - Scientific Reports, 2020 - nature.com
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …

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 …

Application of computer vision in fish intelligent feeding system—A review

D An, J Hao, Y Wei, Y Wang, X Yu - Aquaculture Research, 2021 - Wiley Online Library
Intelligent feeding will be an important mechanism for future aquaculture breeding, and the
establishment of this system will also become a primary concern. At the same time, computer …

[HTML][HTML] Weakly supervised underwater fish segmentation using affinity LCFCN

IH Laradji, A Saleh, P Rodriguez, D Nowrouzezahrai… - Scientific reports, 2021 - nature.com
Estimating fish body measurements like length, width, and mass has received considerable
research due to its potential in boosting productivity in marine and aquaculture applications …

Non-intrusive fish weight estimation in turbid water using deep learning and regression models

N Tengtrairat, WL Woo, P Parathai, D Rinchumphu… - Sensors, 2022 - mdpi.com
Underwater fish monitoring is the one of the most challenging problems for efficiently
feeding and harvesting fish, while still being environmentally friendly. The proposed 2D …

Simultaneous mass estimation and class classification of scrap metals using deep learning

DJ Díaz-Romero, S Van den Eynde, W Sterkens… - Resources …, 2022 - Elsevier
While deep learning has helped improve the performance of classification, object detection,
and segmentation in recycling, its potential for mass prediction has not yet been explored …

An affordable and easy-to-use tool for automatic fish length and weight estimation in mariculture

N Tonachella, A Martini, M Martinoli, D Pulcini… - Scientific Reports, 2022 - nature.com
Common aquaculture practices involve measuring fish biometrics at different growth stages,
which is crucial for feeding regime management and for improving farmed fish welfare. Fish …

Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning

Z Lin, R Fu, G Ren, R Zhong, Y Ying, T Lin - Frontiers in Plant Science, 2022 - frontiersin.org
Fresh weight is a widely used growth indicator for quantifying crop growth. Traditional fresh
weight measurement methods are time-consuming, laborious, and destructive. Non …