LFCNet: A lightweight fish counting model based on density map regression

Automatic fish counting via a multi-scale dense residual network

(2022) Jin-Tao Yu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Application of machine learning in intelligent fish aquaculture: A review

(2021) Shili Zhao et al.   AQUACULTURE

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

Counting method for cultured fishes based on multi-modules and attention mechanism

(2021) Xiaoning Yu et al.   AQUACULTURAL ENGINEERING

A deep learning-based method to identify and count pelagic and mesopelagic fishes from trawl camera images

(2021) Vaneeda Allken et al.   ICES JOURNAL OF MARINE SCIENCE

Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

(2021) Thi Thu Em Vo et al.   Electronics

A new image dataset for the evaluation of automatic fingerlings counting

(2020) Vanir Garcia et al.   AQUACULTURAL ENGINEERING

Improved Fish Counting Method Accurately Quantifies High‐Density Fish Movement in Dual‐Frequency Identification Sonar Data Files from a Coastal Wetland Environment

(2020) Michael R. Eggleston et al.   NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT

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

Automatic counting methods in aquaculture: A review

(2020) Daoliang Li et al.   JOURNAL OF THE WORLD AQUACULTURE SOCIETY

Automatic fish counting method using image density grading and local regression

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

Automatic Bluefin Tuna (Thunnus thynnus) biomass estimation during transfers using acoustic and computer vision techniques

(2019) V. Puig-Pons et al.   AQUACULTURAL ENGINEERING

Integration of sonar and optical camera images using deep neural network for fish monitoring

(2019) Kei Terayama et al.   AQUACULTURAL ENGINEERING

Automatic live fingerlings counting using computer vision

(2019) Pedro Lucas França Albuquerque 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

Detecting a nearshore fish parade using the adaptive resolution imaging sonar (ARIS): An automated procedure for data analysis

(2017) Suzan Shahrestani et al.   FISHERIES RESEARCH

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

Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON

(2009) Jun Han et al.   FISHERIES SCIENCE