[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey

A Saleh, M Sheaves, D Jerry, MR Azghadi - Expert Systems with …, 2024 - Elsevier
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity

AS Abangan, D Kopp, R Faillettaz - Frontiers in Marine Science, 2023 - frontiersin.org
Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Computer vision and deep learning for fish classification in underwater habitats: A survey

A Saleh, M Sheaves, M Rahimi Azghadi - Fish and Fisheries, 2022 - Wiley Online Library
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

Cutting techniques in the fish industry: A critical review

W Liu, J Lyu, D Wu, Y Cao, Q Ma, Y Lu, X Zhang - Foods, 2022 - mdpi.com
Fish and fishery products are among the most important sources of nutritional components
for human health, including high-quality proteins, essential vitamins, minerals, and healthy …

Robust segmentation of underwater fish based on multi-level feature accumulation

A Haider, M Arsalan, J Choi, H Sultan… - Frontiers in Marine …, 2022 - frontiersin.org
Because fish are vital to marine ecosystems, monitoring and accurate detection are crucial
for assessing the potential for fisheries in these environments. Conventionally, fish-related …

Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery

I Laradji, P Rodriguez, F Kalaitzis, D Vazquez… - arxiv preprint arxiv …, 2020 - arxiv.org
Cattle farming is responsible for 8.8\% of greenhouse gas emissions worldwide. In addition
to the methane emitted due to their digestive process, the growing need for grazing areas is …

A machine learning framework for the quantification of experimental uveitis in murine OCT

Y Mellak, A Achim, A Ward, L Nicholson… - Biomedical optics …, 2023 - opg.optica.org
This paper presents methods for the detection and assessment of non-infectious uveitis, a
leading cause of vision loss in working age adults. In the first part, we propose a …

Machine Vision Based Fish Cutting Point Prediction for Target Weight

Y Jang, YS Seo - Computers, Materials and Continua, 2023 - Elsevier
Food processing companies pursue the distribution of ingredients that were packaged
according to a certain weight. Particularly, foods like fish are highly demanded and supplied …

Detecting cattle and elk in the wild from space

C Robinson, A Ortiz, L Hughey, JA Stabach… - arxiv preprint arxiv …, 2021 - arxiv.org
Localizing and counting large ungulates--hoofed mammals like cows and elk--in very high-
resolution satellite imagery is an important task for supporting ecological studies. Prior work …

鱼类智能化加工技术研究应用现状与展望

董师良, 田元勇, 肖金星, 袁春红, 刘鹰 - 水产学报, 2024 - aquaticjournal.com
随着全球对水产品需求的不断增长, 水产品加工业**面临着提升效率, 提高质量和实现绿色发展
的重大挑战. 鱼类智能化加工技术作为应对这些挑战的关键创新, 融合了人工智能, 机器学** …