An Efficient Image Analysis Approach to Evaluate the Quality of Cotton Seeds

In India, cotton is a significant retail crop. The demand for this crop increased as a result of the industry’s excessive usage of cotton. India is a significant producer of many different cotton goods and exports cotton to several countries. The seed directly affects the cotton that is acquired from the plant. This seed assures the plant blossoming, and if the seed quality is highest, then the crop’s growth is ensured under favorable physical conditions. Seed quality can be affirmed manually, but it takes longer, is less accurate and is more expensive. The image processing technique is used as an alternative key in achieving the seed quality analysis in order to overcome these limitations and drawbacks. The focus of this paper is on the application of image processing techniques for evaluating the grade of the captured cottonseeds. The physical attributes, such as area and l/b ratio are extracted from the captured image with the help of MATLAB. Edge-detected image is obtained with the help of FPGA.