Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
D Li, L Du - Artificial Intelligence Review, 2022 - Springer
Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …
Machine learning techniques for increasing efficiency of the robot's sensor and control information processing
Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
Underwater biological detection based on YOLOv4 combined with channel attention
A Li, L Yu, S Tian - Journal of Marine Science and Engineering, 2022 - mdpi.com
Due to the influence of underwater visual characteristics on the observation of underwater
creatures, the traditional object detection algorithm is ineffective. In order to improve the …
creatures, the traditional object detection algorithm is ineffective. In order to improve the …
Automatic estuarine fish species classification system based on deep learning techniques
Fish classification (FC) is crucial in various domains, including fishery management and
ecological research. Traditional FC methods rely mainly on morphological criteria such as …
ecological research. Traditional FC methods rely mainly on morphological criteria such as …
SUR-Net: A deep network for fish detection and segmentation with limited training data
HY Lin, SL Tseng, JY Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
To detect and identify fish in the wild, there are many challenges mainly due to the distinctive
perception environment in the ocean. Another important issue is the lack of sufficient image …
perception environment in the ocean. Another important issue is the lack of sufficient image …
[HTML][HTML] An Automatic Detection and Statistical Method for Underwater Fish Based on Foreground Region Convolution Network (FR-CNN)
S Li, P Li, S He, Z Kuai, Y Gu, H Liu, T Liu… - Journal of Marine Science …, 2024 - mdpi.com
Computer vision in marine ranching enables real-time monitoring of underwater resources.
Detecting fish presents challenges due to varying water turbidity and lighting, affecting color …
Detecting fish presents challenges due to varying water turbidity and lighting, affecting color …
A computer vision based behavioral study and fish counting in a controlled environment
Aquaculture is a fast-growing food-production sector that accounts for almost 50% of the
world's fish used for consumption. Aquaculture refers to the cultivation of fish in cages. The …
world's fish used for consumption. Aquaculture refers to the cultivation of fish in cages. The …
Lobster detection using an Embedded 2D Vision System with a FANUC industrual robot
N Chelouati, F Fares, Y Bouslimani… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In this paper, two vision-based systems approaches are studied in order to guide the
FANUC robot arm 'FANUC LR Mate 200iD/7L'to locate and manipulate lobsters. Different …
FANUC robot arm 'FANUC LR Mate 200iD/7L'to locate and manipulate lobsters. Different …
Lightweight CNN-Based Image Recognition with Ecological IoT Framework for Management of Marine Fishes
L Jia, X **e, J Yang, F Li, Y Zhou, X Fan… - Journal of Circuits …, 2023 - World Scientific
With the development of emerging information technology, the traditional management
methods of marine fishes are slowly replaced by new methods due to high cost, time …
methods of marine fishes are slowly replaced by new methods due to high cost, time …