Abstract

Artificial Intelligence (AI) is transforming modern agriculture by improving crop productivity and disease management. Traditional disease detection methods are often time-consuming and less accurate, leading to yield losses. AI technologies, including Machine Learning (ML), Deep Learning (DL), Convolutional Neural Networks (CNN), and image processing, enable rapid and precise disease detection using leaf images, environmental data, and crop information. These tools support precision agriculture by optimizing pesticide use, enhancing crop monitoring, and improving decision-making. Integrating AI with drones, IoT devices, and mobile applications can further strengthen sustainable agriculture, climate resilience, and global food security.