An Overview of the Research on Plant leaves Disease Detection using Image Processing Techniques and neural network

Abstract

Plant diseases significantly impact agricultural productivity and food security worldwide. Early detection and diagnosis are critical to managing and mitigating these effects. This paper explores the application of machine learning (ML) and deep neural networks (DNN) in plant disease detection. By reviewing existing literature, analyzing various ML and DNN models, and discussing their effectiveness in identifying plant diseases, this study provides a comprehensive overview of the current state of technology and suggests future research directions.