Behavioral response of fish under ammonia nitrogen stress based on machine vision

W Xu, C Liu, G Wang, Y Zhao, J Yu… - … Applications of Artificial …, 2024 - Elsevier
The long-term accumulation of ammonia nitrogen in aquaculture seriously affects the life of
fish and even causes large-scale death. Moreover, when the concentration of ammonia …

[HTML][HTML] Analysis of behavior trajectory based on deep learning in ammonia environment for fish

W Xu, Z Zhu, F Ge, Z Han, J Li - Sensors, 2020 - mdpi.com
Ammonia can be produced by the respiration and excretion of fish during the farming
process, which can affect the life of fish. In this paper, to research the behavior of fish under …

A novel detection model and platform for dead juvenile fish from the perspective of multi-task

P Zhang, J Zheng, L Gao, P Li, H Long, H Liu… - Multimedia Tools and …, 2024 - Springer
The cultivation stage of juvenile fish is the starting point of the whole cultivation process. In
this stage, the vitality of juvenile fish is weak and they are extremely vulnerable to …

Effects of aquaponic system on fish locomotion by image-based YOLO v4 deep learning algorithm

C Liu, B Gu, C Sun, D Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Fish locomotion analysis can provide important information for aquaculture managers to
make effective production decision. However, the existing aquaponic system work mainly …

Fast detection of cannibalism behavior of juvenile fish based on deep learning

H Wang, S Zhang, S Zhao, J Lu, Y Wang, D Li… - … and Electronics in …, 2022 - Elsevier
Special behavior detection of fish is an effective way to ensure fish welfare and improve the
intelligent level of aquaculture. However, due to the influence of the breeding environment …

[HTML][HTML] An Accurate Detection Model of Takifugu rubripes Using an Improved YOLO-V7 Network

S Zhou, K Cai, Y Feng, X Tang, H Pang, J He… - Journal of Marine …, 2023 - mdpi.com
In aquaculture, the accurate recognition of fish underwater has outstanding academic value
and economic benefits for scientifically guiding aquaculture production, which assists in the …

Behavioral response of tilapia (Oreochromis niloticus) to acute ammonia stress monitored by computer vision

X Jian-yu, M Xiang-wen, L Ying… - Journal of Zhejiang …, 2005 - Springer
The behavioral responses of a tilapia (Oreochromis niloticus) school to low (0.13 mg/L),
moderate (0.79 mg/L) and high (2.65 mg/L) levels of unionized ammonia (UIA) concentration …

[HTML][HTML] Bass detection model based on improved YOLOv5 in circulating water system

L Xu, H Deng, Y Cao, W Liu, G He, W Fan, T Wei… - PloS one, 2023 - journals.plos.org
The feeding amount of bass farming is closely related to the number of bass. It is of great
significance to master the number of bass to achieve accurate feeding and improve the …

Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++

H Wang, S Zhang, S Zhao, Q Wang, D Li… - … and Electronics in …, 2022 - Elsevier
In recirculating aquaculture system, the abnormal behavior of fish is usually caused by poor
water quality, hypoxia or diseases. Delayed recognition of this behavior will lead to large …

Deep neural network-based real time fish detection method in the scene of marine fishing supervision

J Li, K Zhu, F Wang, F Jiang - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Overfishing of marine fishery is a serious threat to fishery ecological security. Fishing
supervision is one of the main ways to maintain marine fishery ecology. In order to improve …