AIMC Topic: Hyperspectral Imaging

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Precise classification of traditional Chinese medicine sources using intelligent fusion of hyperspectral imaging-mass spectrometry data combined with machine learning: A case study of American ginseng.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 17, 2025
The application of artificial intelligence in traditional Chinese medicine (TCM) has become a hot topic in the scientific community. American ginseng (AG), a perennial herb with a rich history, is widely utilized in clinical settings due to its diver...
Tandem Mass Spectrometry Hyperspectral Imaging Panax Medicine, Chinese Traditional Drugs, Chinese Herbal Chromatography, High Pressure Liquid Machine Learning Algorithms
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Progress in machine learning-supported electronic nose and hyperspectral imaging technologies for food safety assessment: A review.

Food research international (Ottawa, Ont.) Mar 17, 2025
The growing concern over food safety, driven by threats such as food contaminations and adulterations has prompted the adoption of advanced technologies like electronic nose (e-nose) and hyperspectral imaging (HSI), which are increasingly enhanced by...
Deep Learning Food Contamination Food Safety Humans Electronic Nose Neural Networks, Computer Hyperspectral Imaging Machine Learning
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Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics.

Food chemistry Mar 9, 2025
This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed und...
Plant Tubers Chemometrics Least-Squares Analysis Hyperspectral Imaging Cooking Acrylamide Solanum tuberosum Support Vector Machine Food Contamination Spectroscopy, Near-Infrared
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Nondestructive detection of cadmium content in oilseed rape leaves under different silicon environments using deep transfer learning and Vis-NIR hyperspectral imaging.

Food chemistry Mar 8, 2025
In this paper, a transfer stack denoising autoencoder (T-SDAE) algorithm is proposed to implement the migration of cadmium (Cd) prediction depth characteristic model of oilseed rape leaves in different silicon environments. Stacked denoising autoenco...
Algorithms Spectroscopy, Near-Infrared Deep Learning Hyperspectral Imaging Silicon Brassica napus Plant Leaves Cadmium
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Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach.

Scientific reports Mar 6, 2025
A verifiable and regional level method for mapping crops cultivated under organic practices holds significant promise for certifying and ensuring the quality of farm products marketed as organic. The prevailing method for the identification of organi...
Machine Learning Vegetables Crops, Agricultural Hyperspectral Imaging India Remote Sensing Technology Solanum melongena Organic Agriculture
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Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images.

Sensors (Basel, Switzerland) Mar 2, 2025
This paper investigates the use of machine learning techniques on hyperspectral images of pistachios to detect and classify different levels of aflatoxin contamination. Aflatoxins are toxic compounds produced by moulds, posing health risks to consume...
Pistacia Aflatoxins Nuts Hyperspectral Imaging Machine Learning Food Contamination
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CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2025
Hyperspectral image classification is an important foundational technology in the field of Earth observation and remote sensing. In recent years, deep learning has achieved a series of remarkable achievements in this area. These deep learning-based h...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Hyperspectral Imaging
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Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method.

Scientific reports Feb 20, 2025
The outward appearance of human tongue can reflect changes in blood circulation caused by pathological states, and it has been used as an assisted method for clinical diseases diagnosis for thousands of years in China. The purpose of this study is to...
Machine Learning Menstruation Disturbances Algorithms Hyperspectral Imaging Female Humans Adult Menstruation Reproducibility of Results Neural Networks, Computer Support Vector Machine Young Adult Tongue
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Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum.

Scientific reports Feb 19, 2025
Nondestructive, rapid, and accurate detection of nutritional compositions in sorghum is crucial for agricultural and food industries. In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the researc...
Machine Learning Spectroscopy, Near-Infrared Algorithms Tannins Nutrients Least-Squares Analysis Sorghum Nutritive Value Hyperspectral Imaging
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Exploring a universal model for predicting blueberry soluble solids content based on hyperspectral imaging and transfer learning to address spatial heterogeneity challenge.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 18, 2025
Accurate assessment of soluble solid content (SSC) in blueberries is crucial for quality evaluation. However, in real production lines, blueberries are usually in random placement and the biological heterogeneity of blueberry parts can lead to spectr...
Machine Learning Fruit Hyperspectral Imaging Blueberry Plants Solubility
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