Enhancing Plant Health through Deep Neural Network based Leaf Disease Detection

Abstract

Farming is a vital industry that not only provides food but also raw materials for numerous industries while contributing significantly to the economy. Plant diseases and infestations can severely impact crop production, leading to economic losses for farmers and food shortages for consumers. Early detection of these diseases and infestations is crucial to preventing their spread and protecting the quality of the produce. In this context, machine learning and deep learning approaches have shown promising results in detecting plant diseases. This comprehensive study provides a detailed analysis of prior research. It compares the state-of-the-art deep learning models' performance on the plant leaf image dataset. This study also explores various data preprocessing and augmentation techniques with the goal of improving data quality and enabling optimal training of the models.