A computer vision-based intelligent fish feeding system using deep learning techniques for aquaculture
The decisions made regarding traditional fish feeding systems mainly depend on
experience and simple time control. Most previous works have focused on image-based …
experience and simple time control. Most previous works have focused on image-based …
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 …
Intelligent diagnosis of fish behavior using deep learning method
U Iqbal, D Li, M Akhter - Fishes, 2022 - mdpi.com
Scientific methods are used to monitor fish growth and behavior and reduce the loss caused
by stress and other circumstances. Conventional techniques are time-consuming, labor …
by stress and other circumstances. Conventional techniques are time-consuming, labor …
Automatic recognition methods of fish feeding behavior in aquaculture: A review
Feeding is a major factor that determines the production costs and water quality of
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices
J Hu, D Zhao, Y Zhang, C Zhou, W Chen - Expert Systems with Applications, 2021 - Elsevier
Fish behavior has attracted increasing attention in global aquaculture because it provides
important information about productivity and fish quality. The use of images to detect fish …
important information about productivity and fish quality. The use of images to detect fish …
Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems
R Ranjan, S Tsukuda, C Good - Computers and Electronics in Agriculture, 2023 - Elsevier
Artificial intelligence can answer fish production-related questions and assist growers with
important management decisions in recirculating aquaculture systems (RAS). However …
important management decisions in recirculating aquaculture systems (RAS). However …
Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review
Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …
A MobileNetV2-SENet-based method for identifying fish school feeding behavior
L Zhang, J Wang, B Li, Y Liu, H Zhang, Q Duan - Aquacultural Engineering, 2022 - Elsevier
Analyzing fish school feeding behavior can assist aquaculturists in making successful
feeding decisions, which is critical for enhancing farming efficiency and supporting healthy …
feeding decisions, which is critical for enhancing farming efficiency and supporting healthy …
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 …
Fish feeding intensity quantification using machine vision and a lightweight 3D ResNet-GloRe network
Quantifying feeding intensity of fish is important in developing intelligent feeding control
system, thus improving feed utilization rate and reducing water pollution. The current study …
system, thus improving feed utilization rate and reducing water pollution. The current study …