Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging

Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging

Hyperspectral imaging was employed to capture spectral information from entire trays of hemp seeds. Individual seed spectral data was extracted using a region-of-interest analysis, isolating each seed for detailed examination. To simplify the analysis and reduce computational complexity, a subset of...

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Bibliographic Details
Main Authors: Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Agriculture and Food Research
Subjects:
Hemp seed vigor
Hyperspectral imaging analysis
Machine learning
Deep learning
Wavelength selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154325002078
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