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Performance evaluation and optimization of convolutional neural network architectures for Tomato plant disease eleven classes based on augmented leaf images dataset

Crossref DOI link: https://doi.org/10.1007/s00521-024-09670-6

Published Online: 2024-04-18

Published Print: 2024-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Karande, Shital https://orcid.org/0000-0003-1986-504X
Garg, Bindu
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Text and Data Mining valid from 2024-04-18

Version of Record valid from 2024-04-18
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Article History

Received: 14 July 2023

Accepted: 25 March 2024

First Online: 18 April 2024

Declarations

:

: The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a Conflict of interest in connection with the work submitted.

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