Cotton Plants Diseases Detection Using CNN
This investigation aims to create a sophisticated learning model that can tell a plant's illness apart from images of its leaves, using Convolution Brain Organization to do move training to complete deep learning.
Abstract
Identifying cotton infections is a major problem that often requires expert assistance in determining and treating the disease. This investigation aims to create a sophisticated learning model that can tell a plant's illness apart from images of its leaves. Convolution Brain Organization is used to do move training to complete deep learning. For the dataset used, this method produced outcomes for a given state of quality. The main goal is to offer this approach to as many individuals as is realistically expected while reducing the cost of professional aid in identifying cotton plant diseases. The ability to recognize and understand items from photographs has been made possible by rapid advancements in deep learning (DL) techniques.