Application of Deep Learning-Based Object Detection Techniques in Fish Aquaculture: A Review
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Title
Application of Deep Learning-Based Object Detection Techniques in Fish Aquaculture: A Review
Authors
Keywords
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Journal
Journal of Marine Science and Engineering
Volume 11, Issue 4, Pages 867
Publisher
MDPI AG
Online
2023-04-20
DOI
10.3390/jmse11040867
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Note: Only part of the references are listed.- Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems
- (2023) Rakesh Ranjan et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Nonintrusive and automatic quantitative analysis methods for fish behaviour in aquaculture
- (2022) Jintao Liu et al. AQUACULTURE RESEARCH
- Intelligent feeding technique based on predicting shrimp growth in recirculating aquaculture system
- (2022) Fudi Chen et al. AQUACULTURE RESEARCH
- Application of intelligent and unmanned equipment in aquaculture: A review
- (2022) Yinghao Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Non-contact weight estimation system for fish based on instance segmentation
- (2022) Xiaoning Yu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Robust detection of farmed fish by fusing YOLOv5 with DCM and ATM
- (2022) Haiqing Li et al. AQUACULTURAL ENGINEERING
- A Novel Centerline Extraction Method for Overlapping Fish Body Length Measurement in Aquaculture Images
- (2022) Yun-peng Zhao et al. AQUACULTURAL ENGINEERING
- Underwater abnormal classification system based on deep learning: A case study on aquaculture fish farm in Taiwan
- (2022) James C. Chen et al. AQUACULTURAL ENGINEERING
- Deep images enhancement for turbid underwater images based on unsupervised learning
- (2022) Wen-Hui Zhou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Recent advances of target tracking applications in aquaculture with emphasis on fish
- (2022) Yupeng Mei et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
- (2022) Yuzhen Lu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Stepwise Domain Adaptation (SDA) for Object Detection in Autonomous Vehicles Using an Adaptive CenterNet
- (2022) Guofa Li et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
- (2022) Wei Liu et al. PATTERN RECOGNITION
- Water quality parameter analysis model based on fish behavior
- (2022) Longqing Sun et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- LFCNet: A lightweight fish counting model based on density map regression
- (2022) Yuanyang Zhao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Pedestrian Detection for Autonomous Cars: Inference Fusion of Deep Neural Networks
- (2022) Muhammad Mobaidul Islam et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors
- (2021) Abdelouahid Ben Tamou et al. APPLIED INTELLIGENCE
- Multi-class fish stock statistics technology based on object classification and tracking algorithm
- (2021) Tao Liu et al. Ecological Informatics
- Application of machine learning in intelligent fish aquaculture: A review
- (2021) Shili Zhao et al. AQUACULTURE
- Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network
- (2021) Xuelong Hu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices
- (2021) Jun Hu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning
- (2021) Guangxu Wang et al. Animals
- Counting method for cultured fishes based on multi-modules and attention mechanism
- (2021) Xiaoning Yu et al. AQUACULTURAL ENGINEERING
- Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish
- (2021) Daoliang Li et al. ARTIFICIAL INTELLIGENCE REVIEW
- Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++
- (2021) He Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic, operational, high-resolution monitoring of fish length and catch numbers from landings using deep learning
- (2021) Miquel Palmer et al. FISHERIES RESEARCH
- Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
- (2020) Arthur F.A. Fernandes et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fish freshness categorization from eyes and gills color features using multi-class artificial neural network and support vector machines
- (2020) Hosna Mohammadi Lalabadi et al. AQUACULTURAL ENGINEERING
- Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish
- (2020) Wenkai Xu et al. SENSORS
- Deep learning for smart fish farming: applications, opportunities and challenges
- (2020) Xinting Yang et al. Reviews in Aquaculture
- Automating the Analysis of Fish Abundance Using Object Detection: Optimizing Animal Ecology With Deep Learning
- (2020) Ellen M. Ditria et al. Frontiers in Marine Science
- Application of computer vision in fish intelligent feeding system—A review
- (2020) Dong An et al. AQUACULTURE RESEARCH
- Computer Vision Models in Intelligent Aquaculture with Emphasis on Fish Detection and Behavior Analysis: A Review
- (2020) Ling Yang et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Automatic counting methods in aquaculture: A review
- (2020) Daoliang Li et al. JOURNAL OF THE WORLD AQUACULTURE SOCIETY
- Simulation of Autonomous Underwater Vehicles (AUVs) Swarm Diffusion
- (2020) Enrico Petritoli et al. SENSORS
- Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
- (2020) Yongchao Xu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Statistical Performance of Convex Low-rank and Sparse Tensor Recovery
- (2019) Xiangrui Li et al. PATTERN RECOGNITION
- Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system
- (2019) Ahmad Salman et al. ICES JOURNAL OF MARINE SCIENCE
- Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision
- (2019) Chao Zhou et al. AQUACULTURE
- Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild
- (2019) Alfonso B. Labao et al. Ecological Informatics
- Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
- (2019) Daoliang Li et al. Reviews in Aquaculture
- Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks
- (2019) Graham G. Monkman et al. Methods in Ecology and Evolution
- Automatic segmentation of fish using deep learning with application to fish size measurement
- (2019) Rafael Garcia et al. ICES JOURNAL OF MARINE SCIENCE
- Object Detection With Deep Learning: A Review
- (2019) Zhong-Qiu Zhao et al. IEEE Transactions on Neural Networks and Learning Systems
- A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture
- (2019) Håkon Måløy et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Enhanced fish bending model for automatic tuna sizing using computer vision
- (2018) P. Muñoz-Benavent et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Arbitrary-Oriented Scene Text Detection via Rotation Proposals
- (2018) Jianqi Ma et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Three-dimensional location of target fish by monocular infrared imaging sensor based on a L–z correlation model
- (2018) Kai Lin et al. INFRARED PHYSICS & TECHNOLOGY
- Deep visual domain adaptation: A survey
- (2018) Mei Wang et al. NEUROCOMPUTING
- HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- (2017) Rajeev Ranjan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Biofloc technology application in aquaculture to support sustainable development goals
- (2017) Peter Bossier et al. Microbial Biotechnology
- Fish species classification in unconstrained underwater environments based on deep learning
- (2016) Ahmad Salman et al. LIMNOLOGY AND OCEANOGRAPHY-METHODS
- Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues
- (2016) Mohammadmehdi Saberioon et al. Reviews in Aquaculture
- Fish Locomotion: Recent Advances and New Directions
- (2015) George V. Lauder Annual Review of Marine Science
- Deep learning
- (2015) Yann LeCun et al. NATURE
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