Automatic Plant Leaf Disease Detection and Auto-Medicine Using IoT Technology

Leaf diseases in plants cause substantial production and economic losses, as well as a decrease in both the quality and quantity of the crops. It is easier to identify leaf diseases early in leaf health and can promote disease control through proper management strategies. This chapter provides a method for the early detection of leaf diseases in plants based on some important features taken from their images. Beaglebone Black (BBB) is interfaced with a digital camera used to take images of plant leaves to detect diseases in leaves. The image of the leaves is captured in the proposed framework and contrasted with images in the leaves database which are pre-stored. After image comparisons, if the plant leaves are found to be infected, this device automatically supplies medicine by a sprinkler to the area of the plant leaves. Leaf diseases are identified by initial or final phase tests. The responsible administrator may allow the medicine by sending a message back to GSM (Global System for Mobile Communication) if necessary. The diseases are at the final stage, the system does not wait for the admin message, and it allows the medicine or water to flow to the farm automatically.