Detection of Good Quality Wheat Grains Using Image Processing

Globally, wheat is the leading source of vegetable protein in human food, having a higher protein content than other major cereals, maize (corn) or rice. In terms of total production tonnages used for food, India is currently second to wheat as the main human food crop and ahead of maize. Wheat grains detection is the major task of differentiating wheat from other grains (like barley) as well as from impurities. We notice that grain size and other properties of wheat grains which are used to detection of wheat from the mixture. Specifying the quality of wheat manually requires an expert judgment and is time consuming. Sometimes the variety of wheat looks so similar to the other cereals or impurities so that differentiating them becomes a very tedious task when carried out manually. To overcome this problem, Image processing can be used to differentiate wheat according to its quality. This inspection approach based on image analysis and processing has found a variety of different applications in the agro industry.