TomSevNet: a hybrid CNN model for accurate tomato disease identification with severity level assessment
Crossref DOI link: https://doi.org/10.1007/s00521-023-09351-w
Published Online: 2023-12-26
Published Print: 2024-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shruthi, U. https://orcid.org/0000-0002-0676-3645
Nagaveni, V.
Text and Data Mining valid from 2023-12-26
Version of Record valid from 2023-12-26
Article History
Received: 7 April 2023
Accepted: 28 November 2023
First Online: 26 December 2023
Declarations
:
: The authors affirm that they have no conflict of interest.