We present an advanced way of monitoring rice growth using remote sensing and regression model. In our project we have used satellite images and historic data for temperature, precipitation etc factors that affect the growth of rice in Bangladesh. We compared the correlation between the yield product obtained from remote sensing and survey data. The parameters for each data collection method (RS & Survey) has also been shown to have positive correlation. The parameters are taken according to the factors