Identification of growth years of Kudzu root by hyperspectral imaging combined with spectral–spatial feature tokenization transformer

Xu, Zhenyu; Hu, Huiqiang; Wang, Tingting; Zhao, Yuping; Zhou, Cong; Xu, Huaxing; Mao, Xiaobo

doi:10.1016/j.compag.2023.108332

Computers and Electronics in Agriculture

2023

DOI: 10.1016/j.compag.2023.108332

|View full text |Cite

Identification of growth years of Kudzu root by hyperspectral imaging combined with spectral–spatial feature tokenization transformer

Zhenyu Xu,

Huiqiang Hu,

Tingting Wang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 10 publications

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Identification of growth years of Kudzu root by hyperspectral imaging combined with spectral–spatial feature tokenization transformer

Cited by 10 publications

References 45 publications

An improved 3D-SwinT-CNN network to evaluate the fermentation degree of black tea

An improved 3D-SwinT-CNN network to evaluate the fermentation degree of black tea

Optimizing starch content prediction in kudzu: Integrating hyperspectral imaging and deep learning with WGAN-GP

Enhanced detection of Aspergillus flavus in peanut kernels using a multi-scale attention transformer (MSAT): Advancements in food safety and contamination analysis

Contact Info

Product

Resources

About