Abstract
Globally, wheat is the principal source of vegetable protein in human food, having higher protein content than other major cereals like maize and rice. In terms of total production tonnages used for food, India is currently at second rank as the main human food crop. Determining the quality of wheat is critical. Specifying the characteristics of wheat manually needs an expert decision and is time consuming. Sometimes the variety of wheat appears so similar that their separation becomes a very tedious task when carried out manually. To overcome this problem, Image processing can 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 situation, 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 can come for rescue here. 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 computerized image processing mechanism on MATLAB.
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