Applied and environmental microbiology
Oct 17, 2025
The increasing demand for high-quality seafood underscores the significant challenges posed by rampant seafood fraud. This study aimed to identify regional capture biomarkers by using the gut bacteriome of specimens through state-of-the-art long-rea...
Recent advances in fish freshness evaluation rely on a combination of optical imaging and artificial intelligence due to their applicability to non-invasive and non-destructive measurements. Using trout salmon, red sea bream, and Japanese amberjack, ...
Deep learning allows us to automatize the acquisition of large amounts of behavioural animal data with applications for fisheries and aquaculture. In this work, we have trained an image-based deep learning algorithm, the Faster R-CNN (Faster region-b...
Environmental pollution (Barking, Essex : 1987)
Dec 20, 2017
Microplastics are well-documented pollutants in the marine environment that result from production or fragmentation of larger plastic items. The knowledge about the direct effects of microplastics on immunity, including fish, is still very limited. W...
In this study, Convolutional Neural Network (CNN), DenseNet121, Inception V3 and ResNet50 machine learning algorithms were used to determine the quality changes in sea bream stored in refrigerator conditions using eye and gill images. The sea bream w...
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