Real Time Automation of Agriculture Land, by automatically Detecting Plant Leaf Diseases and Auto Medicine

Abstract

Sicknesses in plants cause real creation and financial misfortunes and in addition diminishment in both quality and amount of agrarian items. Early data on leaf well being and sickness discovery can encourage the control of illnesses through legitimate administration techniques. This paper presents a method for early detection of leaf diseases in plants based on some important features extracted from its leaf images. This proposed system consists of a device called Beagle bone black; it is interfaced with a digital camera or web camera which is used to detect the diseases in leaves. In the proposed system, images of leaves are captured and compared with image healthy leaves images which are in database that are pre-stored in the device. After image processing, if the plants are found infected, this device automatically turns on the valves, through which medicine supply is enabled or disabled automatically to the plant area through a sprinkler or drip irrigation method. In addition to this, soil moisture and temperature sensors are used to avoid the spreading of diseases due to change in climatic conditions. If the values of moisture/temperature exceed the predefined range, the Beagle bone Black enables auto-medicining to the plants. Information regarding the plants and valve operations are intimated to farmer through GSM.