AIMC Topic: Hyperspectral Imaging

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Discrimination of unsound soybeans using hyperspectral imaging: A deep learning method based on dual-channel feature fusion strategy and attention mechanism.

Food research international (Ottawa, Ont.) Jan 22, 2025
The application of high-level data fusion in the detection of agricultural products still presents a significant challenge. In this study, dual-channel feature fusion model (DCFFM) with attention mechanism was proposed to optimize the utilization of ...
Hyperspectral Imaging Glycine max Spectroscopy, Near-Infrared Deep Learning Support Vector Machine Neural Networks, Computer
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Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

Journal of biomedical optics Jan 16, 2025
SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte...
Humans Animals Image Processing, Computer-Assisted Bayes Theorem Neural Networks, Computer Algorithms Computer Simulation Skin Physiological Phenomena Skin Hyperspectral Imaging
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Integrated of Hyperspectral Imaging and Machine Learning Algorithms for Nondestructive Detection of Therapeutic Properties of Plants.

Chemistry & biodiversity Jan 13, 2025
The approaches used to determine the medicinal properties of the plants are often destructive, labor-intensive, time-consuming, and expensive, making it impossible to analyze their quality analysis online. Performance of hyperspectral imaging (HSI) i...
Machine Learning Algorithms Plants, Medicinal Flowers Hyperspectral Imaging Support Vector Machine Plant Leaves Plant Roots
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Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Meat science Jan 10, 2025
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts we...
Swine Deep Learning Principal Component Analysis Pork Meat Least-Squares Analysis Cooking Hydrogen-Ion Concentration Red Meat Neural Networks, Computer Hyperspectral Imaging Paraspinal Muscles Animals
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High-throughput, rapid, and non-destructive detection of common foodborne pathogens via hyperspectral imaging coupled with deep neural networks and support vector machines.

Food research international (Ottawa, Ont.) Jan 7, 2025
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major causes of gastrointestinal diseases worldwide and frequently contaminate dairy products. Compared to nucleic acid detection and MALDI-TOF MS, hyperspec...
Neural Networks, Computer High-Throughput Screening Assays Foodborne Diseases Deep Learning Hyperspectral Imaging Principal Component Analysis Staphylococcus aureus Support Vector Machine Bacillus cereus Discriminant Analysis Escherichia coli Food Contamination Food Microbiology
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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.

Sensors (Basel, Switzerland) Jan 7, 2025
Wheat is a globally cultivated cereal crop with substantial protein content present in its seeds. This research aimed to develop robust methods for predicting seed protein concentration in wheat seeds using bench-top hyperspectral imaging in the visi...
Hyperspectral Imaging Plant Proteins Support Vector Machine Seeds Triticum Neural Networks, Computer Machine Learning Spectroscopy, Near-Infrared Convolutional Neural Networks Image Processing, Computer-Assisted
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Characterizing Chinese saffron Origin, Age and grade using VNlR hyperspectral imaging and Machine learning.

Food research international (Ottawa, Ont.) Jan 2, 2025
Saffron (Crocus sativus L.), the dried stigma, is an extremely valuable spice and medicinal herb, whose economic value is affected by geographical origin, age and grade. In this study, we proposed a method to identify saffron from different Chinese o...
Spices Flowers Hyperspectral Imaging Crocus China Machine Learning Support Vector Machine Algorithms Spectroscopy, Near-Infrared
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Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging.

Scientific reports Dec 28, 2024
Visible and Near-infrared hyperspectral imaging (VNIR-HSI) combined with machine learning has shown its effectiveness in various detection applications. Specifically, the quality of cigar tobacco leaves undergoes subtle changes due to environmental d...
Nitrogen Tobacco Products Hyperspectral Imaging Spectroscopy, Near-Infrared Neural Networks, Computer Nicotiana Deep Learning Plant Leaves Chlorophyll
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Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 27, 2024
Moisture content (MC) is crucial for the storage, transportation, and processing of Camellia oleifera seeds. The purpose of this study was to investigate the feasibility for detecting MC in Camellia oleifera seeds using visible near-infrared hyperspe...
Support Vector Machine Spectroscopy, Near-Infrared Hyperspectral Imaging Neural Networks, Computer Deep Learning Water Algorithms Seeds Least-Squares Analysis Camellia
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Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness.

ACS sensors Dec 25, 2024
Imaging spectral information of materials and analysis of its properties have become an intriguing tool for consumer electronics used for food inspection, beauty care, etc. Those sensory physical quantities are difficult to quantify. Hyperspectral im...
Hyperspectral Imaging Animals Meat Semiconductors Machine Learning
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