Estimation of chlorophyll based on FPGA and Matlab

In today's modern era a theoretical based approach is followed to determine the amount of chlorophyll present in leaves of plants. But in this paper a practical based approach is followed to generate an architecture of simple, low cost Chlorophyll estimator using Field Programmable Gate Array(FPGA). Color of leaf can give an indication for assessing plant health and nutrient. Performance analysis of several regression model shows that multivariate regression model with nonlinear terms provides best fit between estimated terms. We found that the residuals are near in baseline and the adjusted coefficient of determination is very significant. Root mean square error (RMSE), standard deviation, variance and mean of some leaf image samples is taken. A digital system is generated in which Matlab input is used in Xilinx and synthesized results are generated using Verilog code.