Smart Agricultural System Using AI

For many years, crop diseases have been among the major threats to food security, but their rapid identification remains difficult in many parts of the world due to a lack of necessary infrastructure. The purpose of this work is to develop a smart agricultural system that monitors the crops' diseases and suggests remedies for those diseases to the farmers using a deep learning algorithm called MobileNet. The system will work efficiently on smartphones and autonomous systems in real-time