Non-destructive rapid quality control method for tobacco grading using visible near-infrared hyperspectral imaging-Reference-Cited by-同舟云学术

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Non-destructive rapid quality control method for tobacco grading using visible near-infrared hyperspectral imaging

Published:2018-05-15 Issue: Volume: Page:
ISSN:
Container-title:Image Sensing Technologies: Materials, Devices, Systems, and Applications V
language:
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Author:

Dante Henry,Sahu Amrita

Publisher

SPIE

Reference13 articles.

1. Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety

2. Three decades of hyperspectral remote sensing of the Earth: A personal view

3. Highly sensitive image-derived indices of water-stressed plants using hyperspectral imaging in SWIR and histogram analysis

4. Remote sensing of nitrogen and water stress in wheat

5. Assessment of pesticide coating on cereal seeds by near infrared hyperspectral imaging

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1. A new paradigm in cigarette smoke detection: Rapid identification technique based on ATR-FTIR spectroscopy and GhostNet-α;Microchemical Journal;2024-10

2. Real-time grading of roasted tobacco using near infrared spectroscopy technology;Microchemical Journal;2024-09

3. Intelligent large-scale flue-cured tobacco grading based on deep densely convolutional network;Scientific Reports;2023-07-10

4. Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods;Frontiers in Plant Science;2023-03-08

5. Non-destructive Prediction of Nicotine Content in Tobacco Using Hyperspectral Image–Derived Spectra and Machine Learning;Journal of Biosystems Engineering;2022-03-18

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