Digital Maturity Assessment Model for Smart Agriculture

Abstract

The main goal of this study to create a digital maturity assessment model for companies which want to prepare a future policy by evaluating their competencies in Smart Agriculture. Producers in the agricultural sector can learn their digital maturity levels by using the proposed evaluation model and analyze how successful they are in terms of Industry 4.0 requirements. By the help of the obtained strategic road maps, they can take advantage of cost and time by completing digital adaptation with more accurate decisions. For the digital maturity assessment model, Industry 4.0 requirements will be revealed both technically and administratively in the agricultural sector. For this purpose, the relevant literature is reviewed and a sustainable list of requirements for sector-environment-human dimensions are created. These requirements are grouped as main and sub-criteria. All criteria created for the digital maturity evaluation model for the agricultural sector are evaluated by using Best-Worst Method (BWM). After applying BWM, the weights of each criteria are figured out and they are used to evaluate the maturity level of each company by applying simple weighted average method. Also, a user friendly web site is designed to let companies easily measure their levels and have opportunity to identify their strong and weak points in the Smart Agriculture process.