Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques

Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques

Utilizing conventional methods to assess the seed quality is typically destructive and time-consuming. This research aimed to develop a robust and efficient framework for classifying maize seed vigor using hyperspectral imaging and deep learning. This study involved acquiring hyperspectral imaging d...

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Bibliographic Details
Main Authors: Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Smart Agricultural Technology
Subjects:
Seed vigor
Zea mays
Hyperspectral imaging
Deep learning
Non-destructive sorter
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525000541
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