This paper proposes a complete automatic plant light supplementary system that analyses the growth of indoor plants and detects and classifies plant diseases by using an image processing technique. Also suggesting basic treatment according to the diseases detected. Sunlight is the most necessary thing needed for indoor plants and if it is not available it will affect their growth. We introduce a solution for this problem by providing the necessary light for indoor plants using the smart bulb and also analysing the plant's growth. The system consists of different types of sensors to detect humidity, temperature, and soil moisture. Based on sensor outputs complete growth analysis of the plants is provided to a user through an application.

Keywords : Indoor plants; Sensors; Plant Diseases; Image Processing, Android application.