The CNN Technique

CNNs are a class of deep neural networks specifically designed to process and analyze visual data. They are highly effective for image classification tasks due to their ability to automatically and adaptively learn spatial hierarchies of features from images.

• Functionality: In plant disease detection, CNNs can identify patterns and features within plant images. Layers of convolutions and pooling operations detect edges, textures, and complex shapes, which are crucial for distinguishing between different diseases.

• Advantages: CNNs excel in extracting relevant features from images without requiring extensive pre-processing. They can handle large-scale image data and improve their accuracy with more data and deeper architectures.

Overall flowchart of the CNN-based method