A review on underwater autonomous environmental perception and target grasp, the challenge of robotic organism capture

H Huang, Q Tang, J Li, W Zhang, X Bao, H Zhu… - Ocean …, 2020 - Elsevier
The worldwide demands for high protein seafood are growing rapidly. Through robots
instead of divers completing the capture will not only reduce the cost, but also improve the …

Submerged aquatic vegetation: Overview of monitoring techniques used for the identification and determination of spatial distribution in European coastal waters

C Lønborg, A Thomasberger, PAU Stæhr… - Integrated …, 2021 - academic.oup.com
Coastal waters are highly productive and diverse ecosystems, often dominated by marine
submerged aquatic vegetation (SAV) and strongly affected by a range of human pressures …

Faster R-CNN based deep learning for seagrass detection from underwater digital images

M Moniruzzaman, SMS Islam, P Lavery… - 2019 digital image …, 2019 - ieeexplore.ieee.org
Deep learning-based techniques have gained unprecedented success for object detection
tasks. The state of the art object detection accuracy and robustness have been achieved by …

Looking for seagrass: Deep learning for visual coverage estimation

G Reus, T Möller, J Jäger, ST Schultz… - 2018 OCEANS-MTS …, 2018 - ieeexplore.ieee.org
Underwater videography enables marine researchers to collect enormous amounts of
seagrass image data. This collection is fast and cheap but the manual analysis of such data …

Multi-species seagrass detection and classification from underwater images

S Raine, R Marchant, P Moghadam… - 2020 Digital Image …, 2020 - ieeexplore.ieee.org
Underwater surveys conducted using divers or robots equipped with customized camera
payloads can generate a large number of images. Manual review of these images to extract …

Visual discrimination and large area map** of posidonia oceanica using a lightweight auv

F Bonin-Font, A Burguera, JL Lisani - Ieee Access, 2017 - ieeexplore.ieee.org
Controlling and quantifying the presence of Posidonia Oceanica (PO) in the Mediterranean
sea is crucial for the conservation of these endemic ecosystems and to underscore the …

A closer look at seagrass meadows: Semantic segmentation for visual coverage estimation

F Weidmann, J Jäger, G Reus, ST Schultz… - OCEANS 2019 …, 2019 - ieeexplore.ieee.org
Underwater imaging enables marine researchers to collect large datasets of seagrass
images. These images can be used to monitor the health state of underwater meadows by …

Design and vision based autonomous capture of sea organism with absorptive type remotely operated vehicle

L Ji-Yong, Z Hao, H Hai, Y Xu, W Zhaoliang… - IEEE Access, 2018 - ieeexplore.ieee.org
Robot machine capture protein seafood like sea cucumber and seashell is expected to play
a great role in food economy improvement and divers protection. In order to realize robot …

Machine learning and deep learning strategies to identify posidonia meadows in underwater images

Y Gonzalez-Cid, A Burguera… - OCEANS 2017 …, 2017 - ieeexplore.ieee.org
This paper describes how to automatically identify Posidonea Oceanica (PO) from seabed
images gathered by a bottom-looking camera. Different methods based on machine learning …

[HTML][HTML] A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation

Y Chen, Y Zhou, M Park, S Tran, S Hadley… - Expert Systems with …, 2024 - Elsevier
Abstract The presence of Beggiatoa Spp. indicates anoxic conditions or 'poor condition'in
marine sediments beneath aquaculture pens, resulting from organic enrichment. Currently …