More often than not, farmers experience difficulty with illnesses and irritations that assault various types. After some time, the harm has deteriorated, which has made the yield fall flat. Present day examination devices can be utilized to attempt to make a cunning framework that can assist with foreseeing issues and do whatever it takes to fix them in a quick way. Considering these things, a technique has been set up to track down the illness in plants. This is a novel approach to the problem that alters the operation of conventional farming systems by utilizing picture processing, machine learning, and weather monitors. The framework utilizes an organization of sensors, like temperature, stickiness, and light sensors, to watch out for the normal circumstances that are significant for spotting plant sicknesses. Machine learning algorithms analyze the data collected by these devices in real time to enhance a plant's ability to recognize diseases in its surroundings. To make control simple and compelling, a portable UI is made, which allows ranches to watch and deal with the framework from a good way. The UI converses with the focal control unit, for example, a Raspberry Pi Arduino board, through a Bluetooth module. The focal control unit is responsible for organizing the sensors, picture handling, and engine control.