Related references
Note: Only part of the references are listed.Counting method for cultured fishes based on multi-modules and attention mechanism
Xiaoning Yu et al.
AQUACULTURAL ENGINEERING (2022)
YOLACT plus plus Better Real-Time Instance Segmentation
Daniel Bolya et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review
Daoliang Li et al.
REVIEWS IN AQUACULTURE (2020)
Automatic segmentation of fish using deep learning with application to fish size measurement
Rafael Garcia et al.
ICES JOURNAL OF MARINE SCIENCE (2020)
Estimation for fish mass using image analysis and neural network
Lu Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
An automatic method of fish length estimation using underwater stereo system based on LabVIEW
Chen Shi et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
An Application of Fish Detection Based on Eye Search with Artificial Vision and Artificial Neural Networks
Angel J. Rico-Diaz et al.
WATER (2020)
Using machine vision to estimate fish length from images using regional convolutional neural networks
Graham G. Monkman et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
Automatic Bluefin Tuna sizing using a stereoscopic vision system
Pau Munoz-Benavent et al.
ICES JOURNAL OF MARINE SCIENCE (2018)
Horizontal target strength-size conversion equations for sea bass and gilt-head bream
Victoria Rodriguez-Sanchez et al.
AQUACULTURE (2018)
Enhanced fish bending model for automatic tuna sizing using computer vision
P. Munoz-Benavent et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Automatic mass estimation of Jade perch Scortum barcoo by computer vision
S. Viazzi et al.
AQUACULTURAL ENGINEERING (2015)
Individual growth monitoring of European sea bass larvae by image analysis and microsatellite genotyping
Hugues de Verdal et al.
AQUACULTURE (2014)
Estimation of length-weight relationship and condition factor of spotted snakehead Channa punctata (Bloch) under different feeding regimes
Surjya Narayan Datta et al.
SPRINGERPLUS (2013)
The use of computer vision technologies in aquaculture - A review
Boaz Zion
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2012)
A simple and effective digital imaging approach for tuna fish length measurement compatible with fishing operations
Ching-Lu Hsieh et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Prediction of the Weight of Aquacultured Rainbow Trout (Oncorhynchus mykiss) by Image Analysis
Bahar Gumus et al.
JOURNAL OF AQUATIC FOOD PRODUCT TECHNOLOGY (2010)
Prediction of the Weight of Alaskan Pollock Using Image Analysis
Murat O. Balaban et al.
JOURNAL OF FOOD SCIENCE (2010)
Using Image Analysis to Predict the Weight of Alaskan Salmon of Different Species
Murat O. Balaban et al.
JOURNAL OF FOOD SCIENCE (2010)
A dual camera system for counting and sizing Northern Bluefin Tuna (Thunnus thynnus; Linnaeus, 1758) stock, during transfer to aquaculture cages, with a semi automatic Artificial Neural Network tool
Corrado Costa et al.
AQUACULTURE (2009)
Length-weight relationship for 21 fish species from a coastal lagoon in the southwestern Gulf of California
H. Aguirre et al.
JOURNAL OF APPLIED ICHTHYOLOGY (2008)
Fish welfare: Current issues in aquaculture
Paul J. Ashley
APPLIED ANIMAL BEHAVIOUR SCIENCE (2007)
The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna (Thunnus maccoyii) with a stereo-video camera system
E Harvey et al.
FISHERIES RESEARCH (2003)
Share Paper
