Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model

Abdalla, A; Wheeler, T A; Dever, J; Lin, Z; Arce, J; Guo, W

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Citation Details

Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model

Award ID(s):: 2421016

PAR ID:: 10615176

Author(s) / Creator(s):: Abdalla, A; Wheeler, T A; Dever, J; Lin, Z; Arce, J; Guo, W

Publisher / Repository:: Elsevier

Date Published:: 2024-01-01

Journal Name:: Biosystems Engineering

ISSN:: 1537-5110

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Journal Article:
The DOI is not currently available.

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