Crop and weed discrimination in agricultural field using MRCSF
by R.S. Sabeenian, V. Palanisamy
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 3, No. 1, 2010

Abstract: Texture classification is a chic and trendy technology in image processing. Weed control is a major effect on agriculture. Large amount of herbicide has been used for controlling weeds. Certain areas in the agricultural field have more weeds. So, we require an automated visual system that can discriminate weeds from a given field image, which will reduce or even eliminate the amount of herbicide used. This would help farmers to use herbicides only in places where required. In this paper, Multiresolution Combined Statistical and Spatial Frequency (MRCSF) is used to discriminate the weeds from the crops and to classify them.

Online publication date: Fri, 13-Aug-2010

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