A novel hybrid system for automatic detection of fish quality from eye and gill color characteristics using transfer learning technique

İ Akgül, V Kaya, Ö Zencir Tanır - Plos one, 2023 - journals.plos.org
Fish remains popular among the body's most essential nutrients, as it contains protein and
polyunsaturated fatty acids. It is extremely important to choose the fish consumption …

Fine-grained image classification on bats using VGG16-CBAM: a practical example with 7 horseshoe bats taxa (CHIROPTERA: Rhinolophidae: Rhinolophus) from …

Z Cao, K Wang, J Wen, C Li, Y Wu, X Wang, W Yu - Frontiers in Zoology, 2024 - Springer
Background Rapid identification and classification of bats are critical for practical
applications. However, species identification of bats is a typically detrimental and time …

Nondestructive perch target detection and size measurement from RGB-D images in recirculating aquaculture system

W Hu, X Yang, P Ma, K Zhu, T Fu, C Zhou - Aquaculture International, 2025 - Springer
In recirculating aquaculture system, precise estimation of perch size from images is essential
for developing intelligent management system. However, variations in fish postures and …

TFMFT: Transformer-based multiple fish tracking

W Li, Y Liu, W Wang, Z Li, J Yue - Computers and Electronics in Agriculture, 2024 - Elsevier
Recent advancements in fish tracking methodologies provide valuable solutions for
assessing fish growth, marine fisheries, and biological research. In particular, there has …

Deconvolution Enhancement Keypoint Network for Efficient Fish Fry Counting

X Li, Z Liang, Y Zhuang, Z Wang, H Zhang, Y Gao… - Animals, 2024 - mdpi.com
Simple Summary Fish fry counting finds applications in various scenarios, including fish fry
trading and the management of breeding densities. However, current computer-based …

Non-Contact Tilapia Mass Estimation Method Based on Underwater Binocular Vision

G Feng, B Pan, M Chen - Applied Sciences, 2024 - mdpi.com
The non-destructive measurement of fish is an important link in intelligent aquaculture, and
realizing the accurate estimation of fish mass is the key to the stable operation of this link …

CAGNet: an improved anchor-free method for shrimp larvae detection in intensive aquaculture

G Zhang, Z Shen, D Li, P Zhong, Y Chen - Aquaculture International, 2024 - Springer
Object detection adopting deep-learning has strongly promoted the development of
intensive aquaculture. However, shrimp larvae, as an important aquatic organism, are more …

A Survey of Deep Learning for Intelligent Feeding in Smart Fish Farming

X Peng, T Zhou, Z Wu, Z Li - Proceedings of the 2023 5th International …, 2023 - dl.acm.org
The rapid development of deep learning has been successfully applied in various fields,
including aquaculture, providing new methods and ideas to realize unmanned and …

Enhanced Ant Colony System for Water Quality Rules Classification in Smart Aquaculture

MM Munif, MI Ahmad - 2024 IEEE Symposium on Wireless …, 2024 - ieeexplore.ieee.org
Sensed data from aquaculture monitoring will be classified and analyzed in order to
determine the water quality that is suitable for the process of breeding, raising, and …

[HTML][HTML] Сухой яблочный жом в продукционных кормах для рыб

СВ Пономарев, ЕП Мирошникова… - Животноводство и …, 2023 - cyberleninka.ru
В настоящий момент наиболее популярными кормовыми добавками являются
антиоксиданты природного происхождения. Известно о противомикробных свойствах …