Efficient detection method of deep-sea netting breakage based on attention and focusing on receptive-field spatial feature

Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN

(2022) Ziliang Zhang et al.   Journal of Marine Science and Engineering

Scenario analysis of fish escapes in Norwegian aquaculture for implementation of barrier management and improved learning from accidents

(2022) Xue Yang et al.   MARINE POLICY

Research on intelligent damage detection of far-sea cage based on machine vision and deep learning

(2021) Wenxuan Liao et al.   AQUACULTURAL ENGINEERING

An adaptive method of damage detection for fishing nets based on image processing technology

(2020) Yun-Peng Zhao et al.   AQUACULTURAL ENGINEERING

Automated fish cage net inspection using image processing techniques

(2020) Stavros Paspalakis et al.   IET Image Processing

Size-dependent escape risk of lumpfish (Cyclopterus lumpus) from salmonid farm nets

(2020) Bent Herrmann et al.   MARINE POLLUTION BULLETIN

Numerical assessment of the environmental impacts of deep sea cage culture in the Yellow Sea, China

(2019) Yunxia Zhao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Global assessment of ecological risks associated with farmed fish escapes

(2019) Javier Atalah et al.   Global Ecology and Conservation

A pan-European valuation of the extent, causes and cost of escape events from sea cage fish farming

(2015) Dave Jackson et al.   AQUACULTURE

Prevalence and survival of escaped European seabass Dicentrarchus labrax in Cyprus identified using genetic markers

(2015) C Brown et al.   Aquaculture Environment Interactions