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