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Open access Sep 2026

A Lightweight RepViT-M1 Framework for Tea Leaf Disease Classification: Benchmarking Against VGG16 for Efficient Edge Deployment

The findings indicate that compact reparameterizable backbones can match far larger networks on tea-disease recognition, offering a practical route to on-device agricultural diagnostics.

Sarada R, Juvvala Bala Ambedkar, Praveen Kumar Nalli et al. · 0 citations

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