Paper Title
Drone Aided Leaf Disease Detection Using Machine Learning and Raspberry Pi

Abstract
A smart irrigation system that allows selective irrigation of localized leaf disease in an agricultural field. The proposed irrigation system uses a quad copter drone equipped with a camera and a GPS module to generate geo referenced images that indicate the area and location of the disease in a leaf in a survey area. Drones navigate and acquire aerial images, which are then processed by an onboard edge intelligence module long with flight data(GPS coordinates). Smart irrigation deployed on the field can wirelessly receive the coordinates of leaf disease in the land so they can be irrigated selectively. Keywords - Deep Learning, Machine Learning, Artificial intelligence, Image processing for plant Diseases, Drone-Aided Leaf Disease Detection