Hyperspectral Imaging

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 39742624

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...

Algorithms Camellia Deep Learning Hyperspectral Imaging Least-Squares Analysis Neural Networks, Computer Seeds Spectroscopy, Near-Infrared Support Vector Machine Water

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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 39732746

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...

Chlorophyll Deep Learning Hyperspectral Imaging Neural Networks, Computer Nicotiana Nitrogen Plant Leaves Spectroscopy, Near-Infrared Tobacco Products

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Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness.

ACS sensors 39721943

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...

Animals Hyperspectral Imaging Machine Learning Meat Semiconductors

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Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods.

Scientific reports 39890995

Cigar leaf is a special type of tobacco plant, which is the raw material for producing high-quality cigars. The content and proportion of nicotine and other composite substances of cigar leaves have a crucial impact on their quality and vary greatly ...

Algorithms Hyperspectral Imaging Machine Learning Nicotiana Nicotine Plant Leaves Remote Sensing Technology Tobacco Products

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Integrating hyperspectrograms with class modeling techniques for the construction of an effective expert system: Quality control of pharmaceutical tablets based on near-infrared hyperspectral imaging.

Journal of pharmaceutical and biomedical analysis 39881455

Near-infrared hyperspectral imaging (NIR-HSI) integrated with expert systems can support the monitoring of active pharmaceutical ingredients (APIs) and provide effective quality control of tablet formulations. However, existing quality control method...

Chemistry, Pharmaceutical Drug Compounding Excipients Expert Systems Hyperspectral Imaging Particle Size Powders Principal Component Analysis Quality Control Spectroscopy, Near-Infrared Tablets

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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.

Sensors (Basel, Switzerland) 39860674

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...

Convolutional Neural Networks Hyperspectral Imaging Image Processing, Computer-Assisted Machine Learning Neural Networks, Computer Plant Proteins Seeds Spectroscopy, Near-Infrared Support Vector Machine Triticum

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Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

Journal of biomedical optics 39822706

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...

Algorithms Animals Bayes Theorem Computer Simulation Humans Hyperspectral Imaging Image Processing, Computer-Assisted Neural Networks, Computer Skin Skin Physiological Phenomena

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Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Meat science 39799874

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...

Animals Cooking Deep Learning Hydrogen-Ion Concentration Hyperspectral Imaging Least-Squares Analysis Neural Networks, Computer Paraspinal Muscles Pork Meat Principal Component Analysis Red Meat Swine

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Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra.

Analytical methods : advancing methods and applications 39835357

The efficacy and safety of drugs are closely related to the geographical origin and quality of the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR-HSI) combined with machine learning algorithms to construct content...

Algorithms Drugs, Chinese Herbal Glucosides Hyperspectral Imaging Least-Squares Analysis Machine Learning Monoterpenes Paeonia Principal Component Analysis Spectroscopy, Near-Infrared Support Vector Machine

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Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.

The plant genome 39779660

Integrating genomic, hyperspectral imaging (HSI), and environmental data enhances wheat yield predictions, with HSI providing detailed spectral insights for predicting complex grain yield (GY) traits. Incorporating HSI data with single nucleotide pol...

Genomics Heat-Shock Response Hyperspectral Imaging Machine Learning Polymorphism, Single Nucleotide Remote Sensing Technology Triticum

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Determination and visualization of moisture content in Camellia oleifera seeds rapidly based on hyperspectral imaging combined with deep learning.

Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging.

Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness.

Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods.

Integrating hyperspectrograms with class modeling techniques for the construction of an effective expert system: Quality control of pharmaceutical tablets based on near-infrared hyperspectral imaging.

Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.

Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

Cooking loss estimation of semispinalis capitis muscle of pork butt using a deep neural network on hyperspectral data.

Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra.

Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.

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