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Geographical Origin Discrimination and Chemical Characterization of Tobacco Leaves from Multiple Origins Using Chemical Composition and Chemometrics Approaches

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inferredcites →https://doi.org/10.1016/j.asoc.2022.109970openalex-snapshot
Broad learning system with Takagi–Sugeno fuzzy subsystem for tobacco origin identification based on near infrared spectroscopy
inferredcites →https://doi.org/10.1016/j.ecoinf.2013.04.008openalex-snapshot
Investigation of ecological factors controlling quality of flue-cured tobacco (Nicotiana tabacum L.) using classification methods
inferredcites →https://doi.org/10.1016/j.fochx.2023.100716openalex-snapshot
Tracing the geographical origin of tobacco at two spatial scales by stable isotope and element analyses with chemometrics
inferredcites →https://doi.org/10.1016/j.foodcont.2019.04.032openalex-snapshot
Food monitoring: Screening of the geographical origin of white asparagus using FT-NIR and machine learning
inferredcites →https://doi.org/10.1016/j.ijmedinf.2024.105414openalex-snapshot
On relevant features for the recurrence prediction of urothelial carcinoma of the bladder
inferredcites →https://doi.org/10.1016/j.microc.2023.108522openalex-snapshot
Moisture-adaptive corrections of NIR for the rapid simultaneous analysis of 70 chemicals in tobacco: A case study on tobacco
inferredcites →https://doi.org/10.1016/j.microc.2023.109163openalex-snapshot
Geographical origin classification of tobacco by stable isotope and multi-elemental analysis in combination with chemometric methods
inferredcites →https://doi.org/10.1016/j.renene.2021.04.101openalex-snapshot
Tobacco stalks as a sustainable energy source in civil sector: Assessment of techno-economic and environmental potential
inferredcites →https://doi.org/10.1016/j.tre.2025.103969openalex-snapshot
An interpretable machine learning framework for enhancing road transportation safety
inferredcites →https://doi.org/10.1016/j.vibspec.2020.103182openalex-snapshot
Simultaneous identification of geographical origin and grade of flue-cured tobacco using NIR spectroscopy
inferredcites →https://doi.org/10.1021/acs.analchem.4c07007openalex-snapshot
Outlier Removal with Weight Penalization and Aggregation: A Robust Variable Selection Method for Enhancing Near-Infrared Spectral Analysis Performance
inferredcites →https://doi.org/10.1021/acsomega.2c04139openalex-snapshot
Just-in-Time Learning-Integrated Partial Least-Squares Strategy for Accurately Predicting 71 Chemical Constituents in Chinese Tobacco by Near-Infrared Spectroscopy
inferredcites →https://doi.org/10.1021/jf400428topenalex-snapshot
Metabolic Profiling of Chinese Tobacco Leaf of Different Geographical Origins by GC-MS
inferredcites →https://doi.org/10.1021/jf802642dopenalex-snapshot
Characterization of Canadian Cigarettes Using Multi-Stable Isotope Analysis by Gas Chromatography−Isotope Ratio Mass Spectrometry
inferredcites →https://doi.org/10.1136/tobaccocontrol-2019-055598openalex-snapshot
Empirical analysis on the illicit trade of cigarettes in Vietnam
inferredcites →https://doi.org/10.16135/j.issn1002-0861.20150705openalex-snapshot
Classifying Flue-cured Tobacco Leaves with Electronic Nose-based Constellation Diagram Clustering Analysis
inferredcites →https://doi.org/10.3389/fpls.2019.01370openalex-snapshot
Untargeted Metabolomics of Nicotiana tabacum Grown in United States and India Characterizes the Association of Plant Metabolomes With Natural Climate and Geography
inferredcites →https://doi.org/10.3389/fpls.2025.1619380openalex-snapshot
Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning
inferredcites →https://doi.org/10.3390/s18103222openalex-snapshot
Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors
inferredcites →https://doi.org/10.3390/s20174940openalex-snapshot
Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging
inferredcites →https://doi.org/10.3390/s20195451openalex-snapshot
Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics
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