Weed Detection Using Image Processing

Abstract

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