Identification and counting of pirapitinga Piaractus brachypomus fingerlings fish using Machine learning with batch normalization
AS Souza, AC Costa, HF do Carmo França… - 2024 - researchsquare.com
The identification and counting of fish are relevant tools used for stocking, harvesting, and
marketing management of farmed fish. The use of convolutional networks has been used for …
marketing management of farmed fish. The use of convolutional networks has been used for …
Automated fingerlings counting using convolutional neural network
SMD Lainez, DB Gonzales - 2019 IEEE 4th International …, 2019 - ieeexplore.ieee.org
The aim of this paper is to present automated fish fingerlings counting using image
processing technique and to investigate the effectiveness of Convolutional Neural Network …
processing technique and to investigate the effectiveness of Convolutional Neural Network …
[HTML][HTML] Convolutional Neural Networks in the Inspection of Serrasalmids (Characiformes) Fingerlings
MP Fernandes, AC Costa, HFC França, AS Souza… - Animals, 2024 - mdpi.com
Simple Summary Artificial intelligence tools, such as convolutional neural networks, are
used in tracking and counting animals, species identification, and measurement of …
used in tracking and counting animals, species identification, and measurement of …
[PDF][PDF] Underwater Fish Detection and Counting Using Mask Regional Convolutional Neural Network. Water 2022, 14, 222
T Hong Khai, S Abdullah, MK Hasan, A Tarmizi - 2022 - academia.edu
Fish production has become a roadblock to the development of fish farming, and one of the
issues encountered throughout the hatching process is the counting procedure. Previous …
issues encountered throughout the hatching process is the counting procedure. Previous …
Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks
CH Tseng, YF Kuo - ICES Journal of Marine Science, 2020 - academic.oup.com
The statistics of harvested fish are key indicators for marine resource management and
sustainability. Electronic monitoring systems (EMSs) are used to record the fishing practices …
sustainability. Electronic monitoring systems (EMSs) are used to record the fishing practices …
[HTML][HTML] Underwater fish detection and counting using mask regional convolutional neural network
Fish production has become a roadblock to the development of fish farming, and one of the
issues encountered throughout the hatching process is the counting procedure. Previous …
issues encountered throughout the hatching process is the counting procedure. Previous …
[PDF][PDF] Fish Species Recognition using Convolutional Neural Networks for Biodiversity Monitoring
DRS SINGH, SS KAMAT, AS SINGH - 2023 - irejournals.com
In this research, our goal is to develop an automated system using Convolutional Neural
Networks (CNNs) for recognizing fish species, thereby enhancing biodiversity monitoring …
Networks (CNNs) for recognizing fish species, thereby enhancing biodiversity monitoring …
Deep learning applied in fish reproduction for counting larvae in images captured by smartphone
We conducted an extensive and robust analysis of 28 convolutional neural networks (CNN)
based methods for the detection and counting of tilapia larvae (Oreochromis niloticus …
based methods for the detection and counting of tilapia larvae (Oreochromis niloticus …
Improving Fisheries Management through Deep learning based Automated fish counting
M Sirigineedi, RNVJ Mohan… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The process of quantifying fish populations holds significant value in the realm of fisheries
management, as it enables a precise evaluation of population sizes and facilitates …
management, as it enables a precise evaluation of population sizes and facilitates …
Classification of fish species with augmented data using deep convolutional neural network
FJP Montalbo, AA Hernandez - 2019 IEEE 9th International …, 2019 - ieeexplore.ieee.org
Classification is one of the primary data science tasks involving large datasets. To date, fish
species classification in the Philippines is considered significant for further aquaculture and …
species classification in the Philippines is considered significant for further aquaculture and …