AIMC Topic: Penaeidae

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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.

Scientific reports Jul 2, 2025
Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of l...
Image Processing, Computer-Assisted Algorithms Penaeidae Animals Ensemble Learning Deep Learning Neural Networks, Computer
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Assessing the effects of a 660 nm diode laser on crustacean eyes.

PloS one May 6, 2025
Sustainable management of crustacean fisheries requires accurate and timely data for population modelling, but many stocks are data deficient. To address this challenge, a novel device using Class 3R 660 nm diode lasers and Artificial Intelligence al...
Lasers, Semiconductor Penaeidae Crustacea Animals Eye
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Rapid and chemical-free technique based on hyperspectral imaging combined with artificial intelligence for monitoring quality and shelf life of dried shrimp.

Food research international (Ottawa, Ont.) Apr 18, 2025
A rapid and chemical-free method based on hyperspectral imaging (HSI) integrated with artificial intelligence (AI) for monitoring dried shrimp quality was developed. Dried shrimp was packaged in a polypropylene bag and chronologically monitored for c...
Nitrogen Hyperspectral Imaging Xanthophylls Animals Principal Component Analysis Neural Networks, Computer Thiobarbituric Acid Reactive Substances Artificial Intelligence Food Storage Food Quality Penaeidae Shellfish
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Microbiome determinants of productivity in aquaculture of whiteleg shrimp.

Applied and environmental microbiology Apr 15, 2025
UNLABELLED: Aquaculture holds immense promise for addressing the food needs of our growing global population. Yet, a quantitative understanding of the factors that control its efficiency and productivity has remained elusive. In this study, we addres...
Aquaculture Microbiota Penaeidae Larva Bacteria Animals Phylogeny
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Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.

Journal of invertebrate pathology Apr 3, 2025
Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly impacts Litopenaeus vannamei, leading to economic losses. Using bioinformatics and machine learning, this study characterized EHP infection stages and h...
Gene Regulatory Networks Host-Pathogen Interactions Penaeidae Machine Learning Animals Enterocytozoon
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Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness.

ACS applied materials & interfaces Jul 9, 2024
Intelligent colorimetric freshness indicator is a low-cost way to intuitively monitor the freshness of fresh food. A colorimetric strip sensor array was prepared by -dimethylaminocinnamaldehyde (PDL)-doped poly(vinyl alcohol) (PVA) and chitosan (Chit...
Chitosan Animals Indoles Polyvinyl Alcohol Deep Learning Penaeidae Colorimetry
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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides.

Journal of advanced research Mar 1, 2024
INTRODUCTION: Antimicrobial peptides (AMPs) are valuable alternatives to traditional antibiotics, possess a variety of potent biological activities and exhibit immunomodulatory effects that alleviate difficult-to-treat infections. Clarifying the stru...
Lipopolysaccharides Antimicrobial Cationic Peptides Penaeidae Directed Molecular Evolution Structure-Activity Relationship Animals Microbial Sensitivity Tests Staphylococcus aureus Machine Learning Algorithms Anti-Bacterial Agents Antimicrobial Peptides Genetic Algorithms
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An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.

BMC bioinformatics Jun 10, 2019
BACKGROUND: Antimicrobial peptides (AMPs) are essential components of the innate immune system and can protect the host from various pathogenic bacteria. The marine environment is known to be one of the richest sources for AMPs. Effective usage of AM...
Machine Learning Reproducibility of Results Animals Amino Acid Sequence Databases, Protein Penaeidae Antimicrobial Cationic Peptides
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Cooperation of lactic acid bacteria regulated by the AI-2/LuxS system involve in the biopreservation of refrigerated shrimp.

Food research international (Ottawa, Ont.) Nov 14, 2018
Litopenaeus vannamei is an extremely perishable food because of rapid microbial growth and chemical degradation after harvesting. Biopreservation is a food preservation technology based on the addition of "positive" bacteria to kill or prevent the gr...
Quorum Sensing Food Preservation Lactobacillales Shellfish Animals Penaeidae Food Handling
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Fusion of near-infrared and Raman spectroscopy with machine learning strategies: Non-destructive rapid assessment of freshness and TVB-N value prediction in Pacific white shrimp (Litopenaeus vannamei).

Food research international (Ottawa, Ont.) Aug 1, 2025
Total volatile base nitrogen (TVB-N) is a key indicator of shrimp freshness. Nevertheless, traditional detection methods are cumbersome, time-intensive, and destructive. Here, a rapid and non-destructive method based on near-infrared (NIR) and Raman ...
Seafood Penaeidae Shellfish Spectroscopy, Near-Infrared Spectrum Analysis, Raman Nitrogen Neural Networks, Computer Machine Learning Animals
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