Role of Convolutional Neural Networks in Plant Leaf Disease Detection

Convolutional Neural Networks, or CNNs, have be-come a potent tool for image recognition applications, such as the identification of plant leaves. CNNs showed innovative capabilities on a range of image classification and segmentation tasks, demonstrating their ability to extract significant information from pictures. In this work, we offer a CNN-based approach to identify leaves on plants. The proposed method uses a sizable collection of plant leaf photos to train a CNN model. Next, plant leaves in fresh photos may be identified using the trained model. The proposed method is assessed by using a benchmark dataset and show that it produces cutting-edge outcomes.