A Hierarchical Soft Computational Model for Optimizing Agricultural UAVs: Recruiting Neutrosophic Theory and Tree Soft Sets

Mona Mohamed, Higher Technological Institute, 10th of Ramadan City 44629, EgyptFollow
Nurhan Alaa, Department of Computer Science, Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, EgyptFollow
Bilal Arain, Department of Computer Engineering, University of Sharjah, Sharjah, United Arab EmiratesFollow
Karam M. Sallam, Department of Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates AND School of IT and Systems, University of Canberra, ACT 2601, AustraliaFollow

ORCID

Mona Mohamed: https://orcid.org/0000-0002-8212-1572

Nurhan Alaa: https://orcid.org/0009-0008-7281-4210

Bilal Arain: https://orcid.org/0000-0002-2198-2870

Karam M. Sallam: https://orcid.org/0000-0001-5767-2818

Article Type

Research Article

Abstract

Precision agriculture is being transformed by Unmanned Aerial Vehicles (UAVs), which make it possible for yield optimization, targeted spraying, and sophisticated crop monitoring. With an emphasis on their operational capabilities, economic feasibility, and environmental implications, this research explores the revolutionary potential of UAV technology in contemporary farming systems. Practically speaking, the procedure of opting UAVs for agricultural applications is complicated by several competing aspects, inherent uncertainties, and differing stakeholder agendas. This paper suggests a new hybrid decision framework that combines Tree Soft Sets (TrSS), Neutrosophic theory, and Multi-Criteria Decision-Making (MCDM) to methodically handle these issues. Hence, the robust hybrid model known as soft computational model, that combines MEthod based on the Removal Effects of Criteria (MEREC) and COmbinative Distance-based ASsessment (CODAS) with Triangular Neutrosophic sets (TrNSs) to deal with uncertainty situations. These methodologies are integrated with the notion of soft sets in the form of TrSS.

Keywords

Unmanned aerial vehicles (UAVs), Precision agriculture, MEREC, CODAS, TreeSoft set, Triangular neutrosophic sets (TrNSs)

How to Cite

Mohamed, Mona; Alaa, Nurhan; Arain, Bilal; and Sallam, Karam M. (2025) "A Hierarchical Soft Computational Model for Optimizing Agricultural UAVs: Recruiting Neutrosophic Theory and Tree Soft Sets," Neutrosophic Systems with Applications: Vol. 25: Iss. 5, Article 2. DOI: https://doi.org/10.63689/2993-7159.1275