Hyperspectral imaging combined with CNN for maize variety identification

IntroductionAs the third largest food crop in the world, maize has wide varieties with similar appearances, which makes identification difficult. To solve the problem of identification of hybrid maize varieties, a method based on hyperspectral image technology combined with a convolutional neural ne...

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Bibliografiset tiedot
Päätekijät:	Fu Zhang, Fangyuan Zhang, Shunqing Wang, Lantao Li, Qiang Lv, Sanling Fu, Xinyue Wang, Qingfeng Lv, Yakun Zhang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Frontiers Media S.A. 2023-09-01
Sarja:	Frontiers in Plant Science
Aiheet:	hyperspectral imaging technology maize high dimensional feature mapping convolution neural network non-destructive testing
Linkit:	https://www.frontiersin.org/articles/10.3389/fpls.2023.1254548/full
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Hyperspectral imaging combined with CNN for maize variety identification

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