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Prioritisation of Industry 4.0 implementations in agricultural sector with SWARA/EDAS
(Inderscience Enterprises Ltd, 2022) Yucenur, G. Nilay; Azakli, Ali Samed; Bahadir, Kerem; Tel, Muhammed Esat; Arabaci, Seda Nur
The aim of this study, which proposes an MCDM model for evaluating today's Agriculture 4.0 applications, is to provide sustainable production and efficiency increasing in the agricultural sector by providing automation of data management with smart networks. With this purpose, in this study, Industry 4.0 implementations of Turkey's agricultural sector were evaluated in order to ensure continuity and increased efficiency in the agricultural sector and a multi-criteria model was suggested. The proposed model was evaluated by SWARA and EDAS methods, where multiple conflicting criteria can be evaluated together and the most suitable alternative technology was determined. According to this evaluation, hydroponic agriculture alternative with 0.8760 evaluation score was determined the most important Agriculture 4.0 technology. This alternative was followed by other Agriculture 4.0 technologies such as agricultural robot, intelligent soil sensor, autonomous tractor and autonomous weed cleaning robot according to evaluation scores, respectively.