Deep Learning Technique Based Plant Disease Detection And Classification

Today, agricultural production drives the economy. Agriculture has numerous facets, and plant disease diagnosis is one of the most important. Plant diseases are very common. Disease detection prevents yield and quantity losses. Plant diseases are studied through studying plant patterns. Environmentally friendly farming requires monitoring plant health and leaf diseases. Traditional methods have detected plant leaf diseases for decades. Several research studies have shown that effective methods for plant disease identification are still needed. Thus, deep learning and image processing architectures recognize plant leaf diseases. Image Acquisition, Pre-Processing, Segmentation, Feature Extraction, and Classification comprise this illness detection method. Convolutional Neural Networks (CNN) are also used on input datasets. This method simplifies implementation because the CNN evaluates all discriminant features. CNN was compared to other classifiers in a comprehensive analysis. Brown spot, grey spot, rust, and other leaf spots can be treated immediately with the proposed work.