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.