SAAEffNet: A Synthetic-Augmented Attention EfficientNet Model for Mango Disease Classification
Crossref DOI link: https://doi.org/10.1007/s10341-026-01801-8
Published Online: 2026-03-10
Published Print: 2026-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sandhi, Anil
Kumar, Rajeev
Bhardwaj, Reeta
Kumar, Dinesh
Text and Data Mining valid from 2026-03-10
Version of Record valid from 2026-03-10
Article History
Received: 5 December 2025
Accepted: 21 February 2026
First Online: 10 March 2026
Competing interests
: The authors declare no competing interests.