Smart CropGuard: Innovating Disease Detection with Inception CNN and LSTM Peephole Networks

Abstract

Detecting plant leaf diseases is a novel approach for automated plant leaf disease detection, integrating the Inception Convolutional Neural Network (CNN) with Long Short-Term Memory (LSTM) networks enhanced with peephole connections. By synergistically leveraging these advanced deep learning architectures, our research aims to develop a comprehensive framework for precise and efficient disease detection, addressing challenges in traditional methods and advancing agricultural sustainability.