In this study, we present a modest and easily operatable technique that determines the chlorophyll content of plant using an Image Processing Technique. Chlorophyll provides the nutrient status of a plant and nitrogen is a radial part of the chlorophyll, which is the primary absorber of light energy needed for photosynthesis. Quality of plant is determined by the green color of plants which is achieved through Chlorophyll and nitrogen. Plants with high chlorophyll content are green and healthy, whereas plants with less chlorophyll content seems to be a pale green or yellow in color and remain small and retarded. Thus leaf color can be used to determine chlorophyll content by using Image Processing techniques. At present chlorophyll content measurement is usually done through methods such as Spectrophotometer (destructive method), SPAD, at Leaf (Non-destructive). But these methods are expensive, time-consuming and unavailable to remote rural farmers, and various other such issues. We propose to study and develop an expert based system that will use Image Processing to determine the Chlorophyll content of a plant through image acquired by a smart phone
