English
Related papers

Related papers: OysterNet: Enhanced Oyster Detection Using Simulat…

200 papers

Oysters are the living vacuum cleaners of the oceans. There is an exponential decline in the oyster population due to over-harvesting. With the current development of the automation and AI, robots are becoming an integral part of the…

Robotics · Computer Science 2022-12-23 Xiaomin Lin , Nitesh Jha , Mayank Joshi , Nare Karapetyan , Yiannis Aloimonos , Miao Yu

Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the relevance of autonomous systems for their detection and…

Oysters are ecologically and commercially important species that require frequent monitoring to track population demographics (e.g. abundance, growth, mortality). Current methods of monitoring oyster reefs often require destructive sampling…

Oysters are an essential species in the Chesapeake Bay living ecosystem. Oysters are filter feeders and considered the vacuum cleaners of the Chesapeake Bay that can considerably improve the Bay's water quality. Many oyster restoration…

Robotics · Computer Science 2021-05-21 Behzad Sadrfaridpour , Yiannis Aloimonos , Miao Yu , Yang Tao , Donald Webster

Identifying individual salmon can be very beneficial for the aquaculture industry as it enables monitoring and analyzing fish behavior and welfare. For aquaculture researchers identifying individual salmon is imperative to their research.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-21 Bjørn Magnus Mathisen , Kerstin Bach , Espen Meidell , Håkon Måløy , Edvard Schreiner Sjøblom

Phenotype segmentation is pivotal in analysing visual features of living organisms, enhancing our understanding of their characteristics. In the context of oysters, meat quality assessment is paramount, focusing on shell, meat, gonad, and…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Wenli Yang , Yanyu Chen , Andrew Trotter , Byeong Kang

Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface debris is relatively straightforward, quantifying submerged…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Jaskaran Singh Walia , Karthik Seemakurthy

With a number of marine populations in rapid decline, collecting and analyzing data about marine populations has become increasingly important to develop effective conservation policies for a wide range of marine animals, including whales.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Akshaj Gaur , Cheng Liu , Xiaomin Lin , Nare Karapetyan , Yiannis Aloimonos

This paper considers open-set recognition (OSR) of plankton images. Plankton include a diverse range of microscopic aquatic organisms that have an important role in marine ecosystems as primary producers and as a base of food webs. Given…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Joona Kareinen , Annaliina Skyttä , Tuomas Eerola , Kaisa Kraft , Lasse Lensu , Sanna Suikkanen , Maiju Lehtiniemi , Heikki Kälviäinen

Uses of underwater videos to assess diversity and abundance of fish are being rapidly adopted by marine biologists. Manual processing of videos for quantification by human analysts is time and labour intensive. Automatic processing of…

Computer Vision and Pattern Recognition · Computer Science 2018-07-17 Ranju Mandal , Rod M. Connolly , Thomas A. Schlacherz , Bela Stantic

Marine animals and deep underwater objects are difficult to recognize and monitor for safety of aquatic life. There is an increasing challenge when the water is saline with granular particles and impurities. In such natural adversarial…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Sanyam Jain

Object detection models typically perform well on images captured in controlled environments with stable lighting, water clarity, and viewpoint, but their performance degrades substantially in real-world underwater settings characterized by…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Eleanor Wiesler , Trace Baxley

The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused exclusively on performance improvements, disregarding…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Arthur Van Meerbeeck , Jordy Van Landeghem , Ruben Cartuyvels , Marie-Francine Moens

Marine microalgae are widespread in the ocean and play a crucial role in the ecosystem. Automatic identification and location of marine microalgae in microscopy images would help establish marine ecological environment monitoring and water…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Shizheng Zhou , Juntao Jiang , Xiaohan Hong , Yan Hong , Pengcheng Fu

The ocean is warming and acidifying, increasing the risk of mass mortality events for temperature-sensitive shellfish such as oysters. This motivates the development of long-term monitoring systems. However, human labor is costly and…

The deep learning revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. These new methods provide analysis of data from sensors, cameras,…

Ocean scientists have been collecting visual data to study marine organisms for decades. These images and videos are extremely valuable both for basic science and environmental monitoring tasks. There are tools for automatically processing…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Eric Orenstein , Kevin Barnard , Lonny Lundsten , Geneviève Patterson , Benjamin Woodward , Kakani Katija

The eastern oyster is a keystone species and ecosystem engineer. However, restoration efforts of wild oysters are often unsuccessful, in that they do not produce a robust population of oysters that are able to successfully reproduce.…

Quantitative Methods · Quantitative Biology 2021-01-14 Justin Weissberg , Vinny Pagano

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Alzayat Saleh , Issam H. Laradji , Dmitry A. Konovalov , Michael Bradley , David Vazquez , Marcus Sheaves

Clean energy from oceans and rivers is becoming a reality with the development of new technologies like tidal and instream turbines that generate electricity from naturally flowing water. These new technologies are being monitored for…

Computer Vision and Pattern Recognition · Computer Science 2018-11-06 Wenwei Xu , Shari Matzner
‹ Prev 1 2 3 10 Next ›