
Comparative Analysis of Lightweight Vision Models for Tomato Disease Classification
This project provides a comprehensive comparative analysis of various lightweight vision models for the classification of tomato diseases. The primary goal of this research is to identify efficient and accurate models suitable for deployment on edge devices, enabling real-time, in-field disease diagnosis for farmers.