Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.

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Bibliographic Details
Title: Efficient deep learning framework for arecanut disease detection using graph neural network and Bat algorithm.
Authors: Shadrach FD; Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India. finneydaniels@gmail.com., Devasenapathy D; Computing and Software Engineering, U.A. Whitaker College of Engineering, Florida Gulf Coast University, 10501 FGCU Blvd. S, Fort Myers, FL, 33965, USA. ddevasenapathy@fgcu.edu., Anitha R; Department of ECE, Government Engineering College Wayanad, Wayanad, Kerala, India., Kumar ML; Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India., Siripuri K; Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University), Pune, India. skiran@sithyd.siu.edu.in.
Source: Scientific reports [Sci Rep] 2026 Apr 02; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 02.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-46535-5