Detection of Weed and Wheat Using Image Processing

As the increase in the world population the demand of the wheat is also increases. In order to increase the growth wheat in the wheat crop it is necessary to detect the weed in the wheat crop and the barren land to minimize the growth of weed so that the growth of the wheat can be increased. Weed detection is the important factor to be analyzed. Unmanned Air Vehicle (UAV) is used for data acquisition of wheat crop in different phases so that high quality of RGB images can be captured. The proposed method facilitates the extraction of weed, wheat, and barren land in the wheat crop field using background subtraction. The result shows that background subtraction method is good for detection the weed, barren land, and wheat.