Evaluation of Success Factors and Challenges of Smart Agriculture Using Interval Valued Intuitionistic Fuzzy AHP
Nurşah Alkan and Cengiz Kahraman
Technological developments that continued with the Industry 4.0 process also manifested themselves in the agricultural sector and the reflections of this process on agricultural production began to take shape as efficiency, productivity, sustainability, food safety, speed, and competitiveness. This great transformation process has started to be an important part of the agricultural sector and continues to make itself felt more and more every day as smart agriculture. Therefore, it is important to determine success factors and challenges that make a producer more competitive in the agricultural sector. This study takes a closer look at the success factors and challenges for the advancement of technology in agricultural management. For this, a model is created that evaluates the success factors and challenges of sustainable agriculture within the scope of digitalization. In the study, after determining the main and sub-criteria of the problem addressed with a comprehensive literature review and expert opinions, the interval valued intuitionistic fuzzy analytic hierarchy process (IVIF-AHP) method is utilized to assess the critical success factors and difficulties of smart agriculture management that has emerged with technological developments.
Keywords: Smart agriculture, Industry 4.0, intuitionistic fuzzy sets, MCDM, AHP