[HTML][HTML] Image mining applications for underwater environment management-A review and research agenda

RS Nair, R Agrawal, S Domnic, A Kumar - International Journal of …, 2021 - Elsevier
The underwater environment is gaining importance due to its role in enhancing the economy
of the world and improving relationships between different countries across the world. There …

[HTML][HTML] The hierarchic treatment of marine ecological information from spatial networks of benthic platforms

J Aguzzi, D Chatzievangelou, M Francescangeli… - Sensors, 2020 - mdpi.com
Measuring biodiversity simultaneously in different locations, at different temporal scales, and
over wide spatial scales is of strategic importance for the improvement of our understanding …

[HTML][HTML] Tracking fish abundance by underwater image recognition

S Marini, E Fanelli, V Sbragaglia, E Azzurro… - Scientific reports, 2018 - nature.com
Marine cabled video-observatories allow the non-destructive sampling of species at
frequencies and durations that have never been attained before. Nevertheless, the lack of …

New high-tech flexible networks for the monitoring of deep-sea ecosystems

J Aguzzi, D Chatzievangelou, S Marini… - … science & technology, 2019 - ACS Publications
Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea
(eg, fisheries, oil–gas extraction, and mining) urgently imposes the development of novel …

[HTML][HTML] ENDURUNS: An integrated and flexible approach for seabed survey through autonomous mobile vehicles

S Marini, N Gjeci, S Govindaraj, A But… - Journal of Marine …, 2020 - mdpi.com
The oceans cover more than two-thirds of the planet, representing the vastest part of natural
resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this …

[HTML][HTML] Enhanced convolutional neural network for plankton identification and enumeration

K Cheng, X Cheng, Y Wang, H Bi, MC Benfield - PLoS One, 2019 - journals.plos.org
Despite the rapid increase in the number and applications of plankton imaging systems in
marine science, processing large numbers of images remains a major challenge due to …

[HTML][HTML] Temporal characteristics of plankton indicators in coastal waters: High-frequency data from PlanktonScope

H Bi, J Song, J Zhao, H Liu, X Cheng, L Wang… - Journal of Sea …, 2022 - Elsevier
Plankton are excellent indicators of ecosystem status and fisheries because of their pivotal
role in marine food webs and their core values in the integrated ecosystem assessment …

Underwater fish detection with weak multi-domain supervision

DA Konovalov, A Saleh, M Bradley… - … joint conference on …, 2019 - ieeexplore.ieee.org
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution
neural network (CNN) as a required image classifier. However, for the task of fish …

[HTML][HTML] Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives

T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …

[HTML][HTML] Autonomous underwater monitoring system for detecting life on the seabed by means of computer vision cloud services

M Salhaoui, JC Molina-Molina, A Guerrero-González… - Remote Sensing, 2020 - mdpi.com
Autonomous underwater vehicles (AUVs) have increasingly played a key role in monitoring
the marine environment, studying its physical-chemical parameters for the supervision of …