Crossmark

Tomato leaf disease classification using a vision transformer with cascaded group attention (ViT-CGA) for real-time decision support in precision agriculture

Crossref DOI link: https://doi.org/10.1007/s41348-026-01274-7

Published Online: 2026-05-20

Published Print: 2026-06

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

Authors

Rajendran, Manikandan

Muruganantham, Manickam
License Information

Text and Data Mining valid from 2026-05-20

Version of Record valid from 2026-05-20
More Information

Article History

Received: 21 January 2026

Accepted: 20 April 2026

First Online: 20 May 2026

Declarations

:

: The authors declare that there are no known financial or personal conflicts of interest that could have influenced the work reported in this manuscript.

: This study did not involve the use of animals, and no ethical approval was required.

: This research did not involve human subjects; therefore, informed consent was not required.

Document is current

Any future updates will be listed below