AIMC Topic: Penaeidae

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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...
Eye Animals Penaeidae Lasers, Semiconductor Crustacea
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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...
Animals Microbiota Bacteria Penaeidae Aquaculture Phylogeny Larva
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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...
Enterocytozoon Host-Pathogen Interactions Penaeidae Animals Gene Regulatory Networks Machine Learning
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Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models.

Food chemistry Mar 29, 2025
The current work explores hyperspectral imaging (HSI) to quantitatively identify changes in TVB-N and K value during shrimp flesh deterioration. The work developed low-level data fusion (LLF) and predictive models using both machine learning methods ...
Deep Learning Seafood Penaeidae Shellfish Hyperspectral Imaging Machine Learning Animals
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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...
Penaeidae Polyvinyl Alcohol Animals Deep Learning Chitosan Indoles 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...
Animals Microbial Sensitivity Tests Lipopolysaccharides Antimicrobial Cationic Peptides Staphylococcus aureus Directed Molecular Evolution Algorithms Antimicrobial Peptides Anti-Bacterial Agents Machine Learning Structure-Activity Relationship Genetic Algorithms Penaeidae
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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...
Penaeidae Machine Learning Databases, Protein Antimicrobial Cationic Peptides Amino Acid Sequence Reproducibility of Results Animals
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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...
Penaeidae Quorum Sensing Shellfish Animals Food Preservation Food Handling Lactobacillales
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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 ...
Animals Spectroscopy, Near-Infrared Spectrum Analysis, Raman Neural Networks, Computer Machine Learning Penaeidae Shellfish Nitrogen Seafood
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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 Neural Networks, Computer Algorithms Penaeidae Animals Ensemble Learning Deep Learning
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