Constructing the Criteria in Determining the Product Groups for Agriculture 4.0 Applications
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
With Agriculture 4.0, the use of techniques such as sensors, robots, artificial intelligence, and machine learning in agriculture has started. It is aimed to increase productivity in agriculture by reducing food loss and waste through Agriculture 4.0. It is a critical decision to determine which products should be handled first for Turkey to benefit from the advantages of Agriculture 4.0 as soon as possible compared to developed countries in the field of agriculture. At this point, the problem of which factors should be addressed in the determination of product & product groups arises. To handle this, in this study, a multi-criteria analysis has been applied to prioritize the factors that should be considered in the determination of the critical fruit and vegetable group for export, which should be considered as a priority within the scope of Agriculture 4.0. In this context, a multi-criteria analysis has been carried out by adopting the Bayesian Best Worst Method BWM (B-BWM), which is an improved version of a pairwise comparison-based BWM method and applied to group decisions. As a result of the analysis, the most important and least important criteria to be used in determining which products or product groups are more suitable for Agriculture 4.0 applications in Turkey and which should be invested in priority have been determined. © 2024 Elsevier B.V., All rights reserved.
Açıklama
2nd International Conference on Science -- Engineering Management and Information Technology -- SEMIT 2023 -- Ankara -- AX6318919
Anahtar Kelimeler
Agriculture 4.0, Bayesian Best Worst Method, Evaluation Criteria, Mcdm, Agriculture 4.0, Artificial Intelligence Learning, Bad Methods, Bayesian, Bayesian Best Bad Method, Evaluation Criteria, Machine-learning, Mcdm, Multicriteria Analysis, Product Groups
Kaynak
Communications in Computer and Information Science
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
2198 CCIS
