Abstract: Chlorophyll and Nitrogen are related to each other. Estimating one will give content of other. Many techniques are invented to estimate these two. Colour Image processing technique is proving to be effective for the estimation of both. The Colour Image Processing technique gives faster and accurate output. In this paper, some of the techniques are reviewed and a method is proposed to estimate Chlorophyll and Nitrogen for Grape using Matlab. The function developed in this method shows the satisfactory correlation with both and gives coefficient of 0.7307 and -0.3 with RMSE of 0.05551 and 0.1302 for Ch and N, respectively. The Chlorophyll and Nitrogen estimated with above shows the average error of -0.38 and -1.08 percent for all samples. Also, the correlation coefficient for estimated values of Ch and N is 0.9426 and -0.7253, respectively.
Keywords: Colour Image Processing, MATlab, Grape.
Title: Chlorophyll and Nitrogen Estimation of Grape Using Colour Image Processing
Author: Prajakta Patane, Anup Vibhute
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
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