Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish

Image Super-resolution Using Multi-granularity Perception and Pyramid Attention Networks

(2021) Huan Wang et al.   NEUROCOMPUTING

ResNet based on feature-inspired gating strategy

(2021) Jun Miao et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A review of deep learning used in the hyperspectral image analysis for agriculture

(2021) Chunying Wang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning

(2021) Olusola Oluwakemi Abayomi‐Alli et al.   EXPERT SYSTEMS

Single-Image super-resolution - When model adaptation matters

(2021) Yudong Liang et al.   PATTERN RECOGNITION

SAR image change detection based on sparse representation and a capsule network

(2021) Shaona Wang et al.   Remote Sensing Letters

Deep learning for sea cucumber detection using stochastic gradient descent algorithm

(2020) Huaqiang Zhang et al.   European Journal of Remote Sensing

Automatic Fish Population Counting by Machine Vision and a Hybrid Deep Neural Network Model

(2020) Song Zhang et al.   Animals

Deep learning-based appearance features extraction for automated carp species identification

(2020) Ashkan Banan et al.   AQUACULTURAL ENGINEERING

Automatic recognition methods of fish feeding behavior in aquaculture: A review

(2020) Daoliang Li et al.   AQUACULTURE

Fish detection and species classification in underwater environments using deep learning with temporal information

(2020) Ahsan Jalal et al.   Ecological Informatics

Classification of drinking and drinker-playing in pigs by a video-based deep learning method

(2020) Chen Chen et al.   BIOSYSTEMS ENGINEERING

A computer vision approach for recognition of the engagement of pigs with different enrichment objects

(2020) Chen Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Applications of deep convolutional neural networks to predict length, circumference, and weight from mostly dewatered images of fish

(2020) Nicholas Bravata et al.   Ecology and Evolution

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

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

Recognition of feeding behaviour of pigs and determination of feeding time of each pig by a video-based deep learning method

(2020) Chen Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information

(2020) Alvaro Fuentes et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

idtracker.ai: tracking all individuals in small or large collectives of unmarked animals

(2019) Francisco Romero-Ferrero et al.   NATURE METHODS

Numerical ability and improvement through interindividual cooperation varied between two cyprinid fish species, qingbo and crucian carp

(2019) Wei Xiong et al.   PeerJ

Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision

(2019) Chao Zhou et al.   AQUACULTURE

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving Pantanal fish species recognition through taxonomic ranks in convolutional neural networks

(2019) Anderson Aparecido dos Santos et al.   Ecological Informatics

Automatic Fish Species Classification Using Deep Convolutional Neural Networks

(2019) Muhammad Ather Iqbal et al.   WIRELESS PERSONAL COMMUNICATIONS

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

Study of shrimp recognition methods using smart networks

(2019) Zihao Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image-based, unsupervised estimation of fish size from commercial landings using deep learning

(2019) Amaya Álvarez-Ellacuría et al.   ICES JOURNAL OF MARINE SCIENCE

Automatic measurement of the body length of harvested fish using convolutional neural networks

(2019) Chi-Hsuan Tseng et al.   BIOSYSTEMS ENGINEERING

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

Visual features based automated identification of fish species using deep convolutional neural networks

(2019) Hafiz Tayyab Rauf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning for Single Image Super-Resolution: A Brief Review

(2019) Wenming Yang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Image denoising review: From classical to state-of-the-art approaches

(2019) Bhawna Goyal et al.   Information Fusion

Deep learning classifiers for hyperspectral imaging: A review

(2019) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Feature Extraction of Hyperspectral Images Based on Deep Boltzmann Machine

(2019) Jiangong Yang et al.   IEEE Geoscience and Remote Sensing Letters

Modified motion influence map and recurrent neural network-based monitoring of the local unusual behaviors for fish school in intensive aquaculture

(2018) Jian Zhao et al.   AQUACULTURE

Plants Disease Identification and Classification Through Leaf Images: A Survey

(2018) Sukhvir Kaur et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

An overview on Restricted Boltzmann Machines

(2018) Nan Zhang et al.   NEUROCOMPUTING

Underwater-Drone With Panoramic Camera for Automatic Fish Recognition Based on Deep Learning

(2018) Lin Meng et al.   IEEE Access

A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

(2018) Sébastien Villon et al.   Ecological Informatics

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Deep-Sea Organisms Tracking Using Dehazing and Deep Learning

(2018) Huimin Lu et al.   MOBILE NETWORKS & APPLICATIONS

Fast animal pose estimation using deep neural networks

(2018) Talmo D. Pereira et al.   NATURE METHODS

Past, Present, and Future Approaches Using Computer Vision for Animal Re‐Identification from Camera Trap Data

(2018) Stefan Schneider et al.   Methods in Ecology and Evolution

Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation

(2018) Anabel Gómez-Ríos et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

(2017) Shoaib Ahmed Siddiqui et al.   ICES JOURNAL OF MARINE SCIENCE

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

(2017) Kai Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Intelligent feeding control methods in aquaculture with an emphasis on fish: a review

(2017) Chao Zhou et al.   Reviews in Aquaculture

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

(2017) Michiru Nishita et al.   Scientific Reports

Vision-based discrimination of tuna individuals in grow-out cages through a fish bending model

(2016) Vicente Atienza-Vanacloig et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic moth detection from trap images for pest management

(2016) Weiguang Ding et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fish species classification in unconstrained underwater environments based on deep learning

(2016) Ahmad Salman et al.   LIMNOLOGY AND OCEANOGRAPHY-METHODS

Robust tracking of fish schools using CNN for head identification

(2016) Shuo Hong Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

DeepFish: Accurate underwater live fish recognition with a deep architecture

(2016) Hongwei Qin et al.   NEUROCOMPUTING

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

Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation

(2015) Bin Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Automatically Detect and Track Multiple Fish Swimming in Shallow Water with Frequent Occlusion

(2014) Zhi-Ming Qian et al.   PLoS One

Low-resolution face recognition: a review

(2013) Zhifei Wang et al.   VISUAL COMPUTER

Fish species classification by color, texture and multi-class support vector machine using computer vision

(2012) Jing Hu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The use of computer vision technologies in aquaculture – A review

(2012) Boaz Zion   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Video multitracking of fish behaviour: a synthesis and future perspectives

(2012) Johann Delcourt et al.   FISH AND FISHERIES

Three-dimensional reconstruction of the fast-start swimming kinematics of densely schooling fish

(2011) S. Butail et al.   Journal of the Royal Society Interface

Automated visual tracking for studying the ontogeny of zebrafish swimming

(2008) E. Fontaine et al.   JOURNAL OF EXPERIMENTAL BIOLOGY