Deep Diagnosis: Improved Plant Leaf Disease Detection Using Neural Networks

Abstract

In agriculture-dependent countries like India, crop diseases cause significant losses, often spreading rapidly and affecting production. Detecting these diseases early is essential for farmers to act promptly and protect their crops. However, detecting plant diseases at early stages is challenging due to mild symptoms. This research paper introduces an enhanced CNN-based MCC-ACNN model, optimized with fine-tuned hyperparameters and varying batch sizes, aimed at improving the accuracy of plant leaf disease classification. Early and accurate identification is vital for boosting agricultural productivity and preventing widespread crop damage.