Research progress of computer vision technology in abnormal fish detection

C Liu, Z Wang, Y Li, Z Zhang, J Li, C Xu, R Du… - Aquacultural …, 2023 - Elsevier
Abnormal fish detection helps producers adjust breeding strategies in a timely manner to
prevent the occurrence of diseases and improve aquaculture efficiency and quality. The …

Advances in the application of stereo vision in aquaculture with emphasis on fish: A review

D Li, J Yu, Z Du, W Xu, G Wang, S Zhao… - Reviews in …, 2024 - Wiley Online Library
The effective implementation of machine vision has played a crucial role in advancing
intelligent aquaculture across various domains. Stereo vision, as a branch of machine …

MAD-YOLO: A quantitative detection algorithm for dense small-scale marine benthos

X Xu, Y Liu, L Lyu, P Yan, J Zhang - Ecological Informatics, 2023 - Elsevier
Marine biological resources are abundant, and the reasonable development, research and
protection of marine biological resources are of great significance to marine ecological …

Aquaculture defects recognition via multi-scale semantic segmentation

W Akram, T Hassan, H Toubar, M Ahmed… - Expert systems with …, 2024 - Elsevier
Aquaculture net pen defects such as biofouling, vegetation, and holes are key challenges to
efficient and sustainable fish production in aquaculture. These defects must be monitored to …

[HTML][HTML] Biological characters identification for hard clam larva based on the improved YOLOX-s

Y Wang, H Wu, X Hua, D Ren, Y Li, Z Mu, W Xu… - … and Electronics in …, 2023 - Elsevier
This study presents a real-time identification method for improving the accuracy and
efficiency of counting hard clam larvae, overcoming the limitations of traditional manual …

Detection of Atlantic salmon residues based on computer vision

Y Feng, X Li, Y Zhang, T Xie - Journal of Food Engineering, 2023 - Elsevier
Atlantic salmon is an important aquaculture product. The mixture residue problem in salmon
may affect food safety and quality issues. Traditional residue detection methods require the …

[HTML][HTML] Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm

X Zhou, X Zou, W Tang, Z Yan, H Meng… - Frontiers in Plant …, 2023 - frontiersin.org
Accurate road extraction and recognition of roadside fruit in complex orchard environments
are essential prerequisites for robotic fruit picking and walking behavioral decisions. In this …

Intelligent recognition and behavior tracking of sea cucumber infected with Vibrio alginolyticus based on machine vision

W Xu, P Wang, L Jiang, K Xuan, D Li, J Li - Aquacultural Engineering, 2023 - Elsevier
The outbreak of aggregative diseases in the process of sea cucumber cultivation has
brought huge economic losses to aquaculture farmers. It is of positive significance to realize …

A novel automatic detection method for breeding behavior of broodstock based on improved YOLOv5

L Du, Z Lu, D Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Porphyry sea bream are a kind of fish with high economic value. The quantity of eggs
produced by porphyry seabream has important significance for the economics of …

Automated Identification of Morphological Characteristics of Three Thunnus Species Based on Different Machine Learning Algorithms

L Ou, B Liu, X Chen, Q He, W Qian, L Zou - Fishes, 2023 - mdpi.com
Tuna are economically important fish species. The automated identification of tuna species
is of importance in fishery production and resource assessment in that it would facilitate the …