This paper proposes an alternative methodology to the colorimetric estimation of Iron. The importance of Iron is crucial for both Plants and human health, which makes colorimetric estimating iron having many applications in the real world. The alternative methodology replaces the dependence on expensive, non-portable, electrical colorimeter involving manual precalibration with the overhead of storing samples to shift to using of data-based approach with Linear regression model which makes the procedure more convenient and approachable to estimating Elements concentration based on the color complex generated on reaction with corresponding reagents for assisting researchers, laboratory technicians, and farmers.