aspg-24-1110-1791482665 20261008180425 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Neutrosophic and Fuzzy Systems JNFS 2771-6430 2771-6449 2022 3 1 Abedallah Zaid Abualkishik American University in the Emirates, Dubai, UAE Rasha Almajed American University in the Emirates, Dubai, UAE William Thompson Towson University, Towson University, Maryland's University, USA Agricultural production efficiency can be improved, the environment can be improved, and sustainable agricultural development can be achieved with smart agriculture. Several nations and businesses are devoted to developing or introducing innovative agricultural practices and technologies. As long as conventional agricultural management systems are in place, it's going to be tough for businesses to choose and apply smart agriculture solutions without running into stiff competition. As a result, businesses must weigh their options and choose a workable solution ahead of time. There is a novel fuzzy multi-criteria decision model presented in this research that may be used to evaluate the agriculture solution. We created fuzzy MARCOS, which uses the COmpromise Solution's Measurement Alternatives and Ranking Method (fuzzy MARCOS). Triangular fuzzy numbers (TFNs) linguistic dimension was also developed. According to this technique, the criteria weights used to evaluate the road network parts were calculated. Consequently, it is clear that a certain part of agriculture is affected by the study results. 2022 08 18 1110 https://creativecommons.org/licenses/by/4.0/ 10.54216/JNFS.030101 https://www.americaspg.com/journal/24/article/1110 https://www.americaspg.com/storage/7530.pdf