Application of machine learning in intelligent fish aquaculture: A review

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

Dissolved oxygen prediction using a new ensemble method

(2020) Ozgur Kisi et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

E-commerce product review sentiment classification based on a naïve Bayes continuous learning framework

(2020) Feng Xu et al.   INFORMATION PROCESSING & MANAGEMENT

A gender classification method for Chinese mitten crab using deep convolutional neural network

(2020) Yanhai Cui et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model

(2020) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Shrimp recognition using ShrimpNet based on convolutional neural network

(2020) Wu-Chih Hu et al.   Journal of Ambient Intelligence and Humanized Computing

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

(2020) Song Zhang et al.   Animals

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

(2020) Daoliang Li et al.   AQUACULTURE

Real-time robust detector for underwater live crabs based on deep learning

(2020) Shuo Cao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2020) Ahsan Jalal et al.   Ecological Informatics

Groundwater radon precursor anomalies identification by decision tree method

(2020) Shouchuan Zhang et al.   APPLIED GEOCHEMISTRY

Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

(2020) Qin Ren et al.   AQUACULTURAL ENGINEERING

Hybrid decision tree-based machine learning models for short-term water quality prediction

(2020) Hongfang Lu et al.   CHEMOSPHERE

Prediction of dissolved oxygen in aquaculture based on gradient boosting decision tree and long short-term memory network: A study of Chang Zhou fishery demonstration base, China

(2020) Juan Huan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation for fish mass using image analysis and neural network

(2020) Lu Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Application of ANN for Fault Detection in Overhead Transport Systems for Semiconductor Fab

(2020) Artem Zhakov et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Explaining decisions of deep neural networks used for fish age prediction

(2020) Alba Ordoñez et al.   PLoS One

A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction

(2020) Peifeng Li et al.   Scientific Reports

Research advances in the genomics and applications for molecular breeding of aquaculture animals

(2020) Xinxin You et al.   AQUACULTURE

Modelling the environmental footprint of sea bream cage aquaculture in relation to spatial stocking design

(2020) Melita Burić et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

(2020) Sungwon Kim et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques

(2020) Yanlai Zhou   JOURNAL OF HYDROLOGY

Crosspooled FishNet: transfer learning based fish species classification model

(2020) Monika Mathur et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-dimensional classification via kNN feature augmentation

(2020) Bin-Bin Jia et al.   PATTERN RECOGNITION

Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River

(2019) Davor Antanasijević et al.   NEURAL COMPUTING & APPLICATIONS

Opportunities to improve fisheries management through innovative technology and advanced data systems

(2019) Darcy Bradley et al.   FISH AND FISHERIES

Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine

(2019) Pei Shi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2019) Chao Zhou et al.   AQUACULTURE

Using machine learning algorithms to analyse the scute structure and sex identification of sterlet Acipenser ruthenus (Acipenseridae)

(2019) Nikolai V. Barulin   AQUACULTURE RESEARCH

Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild

(2019) Alfonso B. Labao et al.   Ecological Informatics

Concentration decline in response to source shift of trace metals in Elbe River, Germany: A long-term trend analysis during 1998–2016

(2019) Zhenyu Wang et al.   ENVIRONMENTAL POLLUTION

The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes

(2019) Sebastian Spänig et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

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

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

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

Digital camera monitoring of recreational fishing effort: Applications and challenges

(2019) Bruce W. Hartill et al.   FISH AND FISHERIES

Automatic segmentation of fish using deep learning with application to fish size measurement

(2019) Rafael Garcia et al.   ICES JOURNAL OF MARINE SCIENCE

Novel use of the alga Pseudokirchneriella subcapitata, as an early-warning indicator to identify climate change ambiguity in aquatic environments using freshwater finfish farming as a case study

(2019) Emer A. O'Neill et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Automatic live fingerlings counting using computer vision

(2019) Pedro Lucas França Albuquerque et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Novel use of peatlands as future locations for the sustainable intensification of freshwater aquaculture production – A case study from the Republic of Ireland

(2019) Emer A. O'Neill et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Enhanced fish bending model for automatic tuna sizing using computer vision

(2018) P. Muñoz-Benavent et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated within tank fish mass estimation using infrared reflection system

(2018) Mohammadmehdi Saberioon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development and implementation of a fish counter by using an embedded system

(2018) J.M. Hernández-Ontiveros et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture

(2018) Chao Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Research on a dissolved oxygen prediction method for recirculating aquaculture systems based on a convolution neural network

(2018) Xuxiang Ta et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A domain transferable lexicon set for Twitter sentiment analysis using a supervised machine learning approach

(2018) M. Ghiassi et al.   EXPERT SYSTEMS WITH APPLICATIONS

A biometric-based model for fish species classification

(2018) Alaa Tharwat et al.   FISHERIES RESEARCH

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Concise deep reinforcement learning obstacle avoidance for underactuated unmanned marine vessels

(2018) Yin Cheng et al.   NEUROCOMPUTING

A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis

(2018) Aleksandra Šiljić Tomić et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

(2018) James H. Thrall et al.   Journal of the American College of Radiology

Detecting Spammer Groups From Product Reviews: A Partially Supervised Learning Model

(2018) Lu Zhang et al.   IEEE Access

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

OUP accepted manuscript

(2018)   ICES JOURNAL OF MARINE SCIENCE

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Automatic interpretation of otoliths using deep learning

(2018) Endre Moen et al.   PLoS One

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Human-like autonomous car-following model with deep reinforcement learning

(2018) Meixin Zhu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China

(2017) Xiaoliang Ji et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Gender and gonadal maturity stage identification of captive Chinese sturgeon, Acipenser sinensis , using ultrasound imagery and sex steroids

(2017) Hao Du et al.   GENERAL AND COMPARATIVE ENDOCRINOLOGY

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A practical guide for assigning sex and stage of maturity in sturgeons and paddlefish

(2017) M. A. H. Webb et al.   JOURNAL OF APPLIED ICHTHYOLOGY

Constrained NMF-based semi-supervised learning for social media spammer detection

(2017) Dingguo Yu et al.   KNOWLEDGE-BASED SYSTEMS

Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study

(2017) Behrooz Keshtegar et al.   NEURAL COMPUTING & APPLICATIONS

Retracted: Gonad histology and serum 11-KT profile during the annual reproductive cycle in sterlet sturgeon adult males, Acipenser ruthenus

(2017) A Golpour et al.   REPRODUCTION IN DOMESTIC ANIMALS

Biofloc technology application in aquaculture to support sustainable development goals

(2017) Peter Bossier et al.   Microbial Biotechnology

Sex steroid level and sexual dimorphism expression of genes in gonads of the great sturgeon Huso huso Linneaus, 1758 during maturity developmental stages

(2016) Mahtab Yarmohammadi et al.   AQUACULTURE RESEARCH

Spatial behavioral characteristics and statistics-based kinetic energy modeling in special behaviors detection of a shoal of fish in a recirculating aquaculture system

(2016) Jian Zhao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fish species classification in unconstrained underwater environments based on deep learning

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

DeepFish: Accurate underwater live fish recognition with a deep architecture

(2016) Hongwei Qin et al.   NEUROCOMPUTING

Fisheries management impacts on target species status

(2016) Michael C. Melnychuk et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Stock assessment in inland fisheries: a foundation for sustainable use and conservation

(2016) K. Lorenzen et al.   REVIEWS IN FISH BIOLOGY AND FISHERIES

Infectious Diseases Affect Marine Fisheries and Aquaculture Economics

(2015) Kevin D. Lafferty et al.   Annual Review of Marine Science

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Benthic foraminifera assemblages as elemental pollution bioindicator in marine sediments around fish farm (Vrgada Island, Central Adriatic, Croatia)

(2014) Jelena Vidović et al.   MARINE POLLUTION BULLETIN

Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization

(2013) Sagarika Bakshi et al.   APPLIED SOFT COMPUTING

A hybrid WA–CPSO-LSSVR model for dissolved oxygen content prediction in crab culture

(2013) Shuangyin Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Geometric Reinforcement Learning for Path Planning of UAVs

(2013) Baochang Zhang et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

The use of computer vision technologies in aquaculture – A review

(2012) Boaz Zion   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Efficient greedy feature selection for unsupervised learning

(2012) Ahmed K. Farahat et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Short-term effects of a prolonged blackwater event on aquatic fauna in the Murray River, Australia: considerations for future events

(2012) A. J. King et al.   MARINE AND FRESHWATER RESEARCH

Understanding fish behavior during typhoon events in real-life underwater environments

(2012) Concetto Spampinato et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A computer-vision system and methodology for the analysis of fish behavior

(2011) Vassilis M. Papadakis et al.   AQUACULTURAL ENGINEERING

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

(2010) Z. Q. John Lu   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

A survey of techniques for internet traffic classification using machine learning

(2009) Thuy T.T. Nguyen et al.   IEEE Communications Surveys and Tutorials

Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

(2009) T.V. Bandos et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

APPLICATION OF ARTIFICIAL INTELLIGENCE MODELS IN WATER QUALITY FORECASTING

(2008) I. S. Yeon et al.   ENVIRONMENTAL TECHNOLOGY

Collective behavior in animal groups: Theoretical models and empirical studies

(2008) Irene Giardina   HFSP Journal

A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems

(2007) Kemal Polat et al.   EXPERT SYSTEMS WITH APPLICATIONS