[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey
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 …
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
The fish industry experiences substantial illegal, unreported, and unregulated (IUU)
activities within traditional supply chain systems. Blockchain technology and the Internet of …
activities within traditional supply chain systems. Blockchain technology and the Internet of …
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …
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 …
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 …
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
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 …
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
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 …
feeding and harvesting fish, while still being environmentally friendly. The proposed 2D …
Simultaneous mass estimation and class classification of scrap metals using deep learning
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 …
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
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 …
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
Fresh weight is a widely used growth indicator for quantifying crop growth. Traditional fresh
weight measurement methods are time-consuming, laborious, and destructive. Non …
weight measurement methods are time-consuming, laborious, and destructive. Non …