A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose

A Novel Generative Adversarial Network Model Based on GC-MS Analysis for the Classification of Taif Rose

Rose oil production is believed to be dependent on only a few genotypes of the famous rose <i>Rosa damascena</i>. The aim of this study was to develop a novel GC-MS fingerprint based on the need to expand the genetic resources of oil-bearing rose for industrial cultivation in the Taif re...

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Bibliographic Details
Main Authors: Hala M. Abdelmigid, Mohammed Baz, Mohammed A. AlZain, Jehad F. Al-Amri, Hatim G. Zaini, Maissa M. Morsi, Matokah Abualnaja, Nawal Abdallah Alhuthal
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
conditional generative adversarial network
Taif rose
gas chromatography-mass spectrophotometry
StackGAN
Online Access:https://www.mdpi.com/2076-3417/13/5/3052

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