Refined Neutrosophic Rings for Quality Evaluation of Visualization Modeling System for Crop Growth in Agriculture and Forestry Based on Virtual Simulation Technology

Abstract

The integration of visualization modeling systems using virtual simulation technology 
has emerged as a transformative approach in agricultural and forestry sciences. These systems 
enable realistic, interactive, and scalable representations of crop and forest growth, supporting 
decision-making, education, and policy planning. However, ensuring the quality and reliability 
of such systems is critical, particularly as they are used in high-stake environmental and food 
security contexts. This paper presents a comprehensive evaluation framework for assessing the 
quality of visualization modeling systems for crop growth in agriculture and forestry. Key criteria 
such as simulation accuracy, real-time interactivity, biophysical realism, scalability, usability, and 
visual fidelity are explored. Furthermore, the study addresses challenges related to data quality, 
computational complexity, and model validation, while proposing advanced methodologies such 
as refined neutrosophic rings to handle uncertainty in evaluation. We use six criteria and five 
alternatives. The findings aim to inform future development and deployment of high-quality 
visualization systems that meet the diverse needs of researchers, practitioners, and stakeholders 
in the agricultural and forestry domains. 

DOI: 10.5281/zenodo.15514499