Design and development of Android based Plant disease detection using Arduino

Plants are vital for the planet and for every single living life form. Plants keep up the air. Plant sick wellbeing, a hindrance of the typical condition of a plant that hinders or alters its significant capacities. In this task an computerized framework has been created to decide if the plant's leaf is sound or ailment influenced. The typical development of the plants, yield and quality of farming items is truly influenced by plant infections. This paper points to build up a PC vision based programmed framework for the finding of sicknesses in plant leaves. Programmed ailment recognition utilizing PC vision approach includes the division utilizing k mean grouping and highlight extraction of sick territory of the leaf, textural descriptors utilizing gray level co-occurrence matrix (GLCM). Shading minutes are removed from sick and non-unhealthy leaf pictures bringing about component esteems. CNN and BRNN are utilized for characterization. Grouped leaves with illnesses result to show on android Application utilizing Bluetooth. And furthermore, pesticides are splashed on the identified unfortunate leaves utilizing outward engine siphon.