###### Abstract  
Research on the quality of the air in rural areas is essential for determining base emissions of air pollutants, evaluating the effects of dust pollutants particular to rural areas, modeling the dispersion of pollutants, and developing appropriate pollution mitigation systems. The absence of a systematic review based on the assessment of air quality levels in agricultural settings based on integrated weather variables and air pollutants in the literature draws attention to the deficiencies and the necessity of further research in this area. Hence, our study aimed to develop an Arduino monitoring system with related sensors to acquire some air pollutants and weather parameters. Additionally, we proposed an innovative solution to compare air quality levels by suggesting a new criterion called an integrated indicator for air quality assessment (IAQA). It was created based on the weighted average method to combine the investigated air pollutants and weather parameters. This criterion was evaluated while conducting field measurements in 29 environmentally different agricultural regions located within the Kingdom of Saudi Arabia. To determine the integrated indicator, all the values of the variables were normalized between 0 and 1. The agricultural setting with the lowest integrated indicator was the best environmentally. The lowest and highest values of the integrated indicator ranged from 37.03% and 66.32%, respectively, with an arithmetic average of 48.24%. The developed criterion can change its value depending on the change in the weight value of the variables involved, and it is suitable for application to any other agricultural or non-agricultural setting to evaluate the pollution level in the air. Although similar research has been published, this paper presents novelty findings based on integrated values of air pollutants and weather variables for defining a new criterion called IAQA. Additionally, this paper presents original results for air pollutants and weather aspects in different agricultural settings. eurment; modeling; air pollution; normalization 2024  
[PERSON], [PERSON], A.A.  
contamination, numerous studies have already looked into the physical and chemical characteristics of the contaminated soil, water, and air [5]. Furthermore, there are many different sources, forms, and consequences of the contamination that farming produces, but one of the most common and significant is air pollution [6]. Agriculture can pollute the air in a number of ways, such as by using heavy machinery, burning crop residues, raising animals, applying fertilizers, and raising poultry and birds. In agriculture production, different pesticides are utilized, which can pollute the air. In addition to lowering air quality, these activities may also be a factor in global warming and climate change [6]. To reduce the environmental impacts resulting from agricultural actions, we must understand the behavior of agricultural emissions and the subsequent transformations. This can be achieved by conducting actual measurements of the emissions that cause a reduction in air quality in the agricultural environment. The purpose was to determine what should be performed to improve the quality while taking into consideration the diversity of agricultural actions. However, agricultural settings are affected by environmental factors such as ambient temperature and relative humidity, so it is important to monitor these variables in the environment by making effective use of modern technologies in designing and implementing systems that can monitor these variables. Monitoring air quality in different places through various sensors in portable devices is a new area of research [7], especially concerning the capabilities that enable the design, deployment, and management of such sensors, which can measure gaseous and non-gaseous air pollutants. For the monitoring of air quality in areas with large population densities, making real-time data available to decision-makers is important and beneficial [8].