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[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 …
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 …
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
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 …
in their natural habitats. This helps them get a step closer towards understanding and …
Cutting techniques in the fish industry: A critical review
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 …
for human health, including high-quality proteins, essential vitamins, minerals, and healthy …
Robust segmentation of underwater fish based on multi-level feature accumulation
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 …
for assessing the potential for fisheries in these environments. Conventionally, fish-related …
Counting cows: Tracking illegal cattle ranching from high-resolution satellite imagery
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 …
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
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 …
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
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 …
according to a certain weight. Particularly, foods like fish are highly demanded and supplied …
Detecting cattle and elk in the wild from space
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 …
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** …
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** …