Machine Learning Applied To Plant Disease Detection

One of the most important factors in India's economy is agricultural output. Plants are dying because of a lack of knowledge about the signs of plant diseases and how to cure them. Improvements in both production and quality can be achieved by early disease identification. Predicting plant diseases more quickly and accurately might help mitigate costs. As deep learning has advanced, so has the possibility to enhance the efficiency and precision of the system used to identify and categorize objects. One type of deep learning known as convolutional neural networks is employed in the areas of image classification, picture segmentation, and signal processing. Here, we suggest using convolutional neural networks (CNNs) to identify plant diseases. The proposed work's primary objective is to provide a method for detecting various types of plant diseases with minimal effort.