Wheat Grain Quality Analysis Using Image Processing

Abstract

Rice and Wheat are two major staple cereals used globally. In India too, both of these crops are cultivated and consumed in large quantities. In this article, we are demonstrating an image processing approach to segregate bad quality wheat seed grains from the good quality. Wheat is not only the source of carbohydrate, but it also contains protein in ample amounts. The protein content in wheat is higher than that of other major cereals like maize and rice. In terms of total production tonnages used for food, India ranks second in wheat production. Determining the quality of wheat is critical. Specifying quality of wheat manually requires an expert judgment and is time consuming. Sometimes the variety of wheat looks so similar that differentiating them by bare eyes becomes a tedious task. To overcome this problem, image processing comes for rescue and be used to classify wheat according to its quality. The seed quality identification is very important in agriculture. Before boring the seed in farm, it must be viewed properly and then sowed. In the current scenario, the farmers are taking more efforts in their farm and also spending more time and money. But inspite of their hard work they do not get proper profit. So, the technology finds the solution based on image processing. There are certain limitations to human eye to observe the seed. So, the electronic world helps us to separate the faulty seeds from quality seeds. The image processing algorithm is implemented using Matlab. The proposed technique is defined with the assistance of the computerized image processing mechanism on MATLAB.