Automated image analysis as a tool to measure individualised growth and population structure in Chinook salmon (Oncorhynchus tshawytscha)

NPL Tuckey, DT Ashton, J Li, HT Lin… - … , Fish and Fisheries, 2022 - Wiley Online Library
Selective breeding programmes depend on high‐quality measurements of phenotype and
genotype with repeated individualised phenotype measurements throughout the life cycle …

Juvenile Chinook Salmon Weight Prediction Using Image‐Based Morphometrics

EJ Holmes, CA Jeffres - North American Journal of Fisheries …, 2021 - Wiley Online Library
We developed an empirical weight prediction model for juvenile Chinook Salmon
Oncorhynchus tshawytscha ranging from 33–113 mm FL and 0.35–14.86 g using …

A semi-automated spectral approach to analyzing cyclical growth patterns using fish scales

JA Chaput, G Chaput - Biology Methods and Protocols, 2024 - academic.oup.com
We introduce a new semi-automated approach to analyzing growth patterns recorded on
fish scales. After manually specifying the center of the scale, the algorithm radially unwraps …

Validation of Atlantic salmon (Salmo salar) weight estimation by stereo camera, and morphometric analysis for assessment of growth performance and maturation …

TEL Lange - 2021 - bora.uib.no
Stereo image analysis of free-swimming farmed Atlantic salmon is today used for purposes
such as individual size estimation and sea lice counting. This technology may in the future …

Automated Monitoring of Bluefin Tuna Growth in Cages Using a Cohort-Based Approach

P Muñoz-Benavent, G Andreu-García, J Martínez-Peiró… - Fishes, 2024 - mdpi.com
In this article, the evolution of BFT (bluefin tuna) sizes in fattening cages is studied, for which
it was necessary to perform exhaustive monitoring with stereoscopic cameras and an …

[HTML][HTML] Validating non-invasive growth measurements on individual Atlantic salmon in sea cages using diode frames

GF Difford, SA Boison, HL Khaw, B Gjerde - Computers and Electronics in …, 2020 - Elsevier
Most Atlantic salmon production takes place in large sea cages where there are limited
opportunities to record growth on individual fish. This limits management capabilities for …

Precision biometrics data of Atlantic salmon (Salmo salar L.) in commercial grow-out sea-cages: Manual sampling and infrared diode frames compared to processing …

CA López-Riveros, GE Merino, H Flores-Gatica - Aquacultural Engineering, 2021 - Elsevier
One of the critical challenges that the global salmon farming industry will confront when
upscaling production is accurate biomass control. Commercial salmon farming requires a …

IMAFISH_ML: A fully-automated image analysis software for assessing fish morphometric traits on gilthead seabream (Sparus aurata L.), meagre (Argyrosomus regius …

A Navarro, I Lee-Montero, D Santana… - … and Electronics in …, 2016 - Elsevier
A fast and fully automated software for image analysis (named IMAFISH_ML) was
developed to measure 27 fish morphometric traits (technological traits) on three …

[HTML][HTML] Non-Invasive Fish Biometrics for Enhancing Precision and Understanding of Aquaculture Farming through Statistical Morphology Analysis and Machine …

FJ Ramírez-Coronel, OM Rodríguez-Elías… - Animals, 2024 - mdpi.com
Simple Summary This research addresses the problem of biomass estimation and fish
development monitoring by developing and meticulously validating a computer-vision …

Body size estimation method for seasonally growing farmed yellowtail Seriola quinqueradiata in an aquaculture net cage using a stereo camera

K Komeyama, A Ikegami, K Fukuda, A Ishida, Y Sasaki… - Fisheries Science, 2024 - Springer
To determine the optimal method for monitoring the size distribution of cultivated yellowtail
growth, we employed three different approaches: capture measurement, manual …