Cropping OF Weeds in the Farm Field by Image Acquisition and Processing Methods

Agriculture plays one of the most important role in economy and therefore lowering the costs and improving the quality of agricultural products is highly demanded. A weed is a plant which grows in wrong place at the wrong time and doing more harm than good. Weed competes with the crops for water, light, nutrients and space, and therefore it reduces crop yields. In olden method, the weeds can be destroyed by using the controlled spray of herbicides. A major problem is that the heavy herbicide usage causes some of more prolific weeds becoming more resistant to the regular herbicides and therefore more powerful and more expensive options are being pursued. To overcome such problems with aiming at the reduction of herbicide usage, this proposed system focuses on developing a robotic system which can detect and mapping the weeds and then clearing of the weeds. And by this view, our proposed system provides a key solution to improve its quality by means of controlling the weeds and to increase the yield of crops in the farm field by mechanical cropping. The work is performed using 10 images and in this work the image is classified into pre-processed image and test image. Thereby, the needed solution is recovered in our proposed system. The proposed system can detect the early level of weeds in the farm fields with the accuracy of 85%. And so on, our system provides the following operation to cut the weeds in the farm field. Index terms – Graphical User Interface, Weed Detection