SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification

IntroductionAccurate identification of maize seed varieties is essential for enhancing crop yield and ensuring genetic purity in breeding programs.MethodsThis study establishes a non-destructive classification approach based on hyperspectral imaging for discriminating 30 widely cultivated maize vari...

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Autors principals:	Linzhe Zhang, Chengzhong Liu, Junying Han, Kai Sun, Yongqiang Feng
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-10-01
Col·lecció:	Frontiers in Plant Science
Matèries:	hyperspectral imaging technology maize seeds classification convolutional neural network full band
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1587845/full
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