A Rapid Identification Method for Cottonseed Varieties Based on Near-Infrared Spectral and Generative Adversarial Networks

A Rapid Identification Method for Cottonseed Varieties Based on Near-Infrared Spectral and Generative Adversarial Networks

China is a major cotton-growing country with numerous cotton varieties, each exhibiting significant differences in yield and fiber quality. However, the current management of cottonseed varieties is disorganized, resulting in severe homogenization and the presence of counterfeit and mislabeled varie...

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Bibliographic Details
Main Authors: Qingxu Li, Hao Li, Renhao Liu, Xiaofeng Dong, Hongzhou Zhang, Wanhuai Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
cottonseeds
cottonseed varieties
machine learning
near-infrared spectroscopy
generative adversarial networks
Online Access:https://www.mdpi.com/2077-0472/14/12/2177
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