## 4 Conclusions  
This study performed measurements to comprehensively assess air pollution levels in different regions of the Kingdom of Saudi Arabia. For this purpose, a portable device was developed and designed that employed different sensors connected to an Arduino board. Measurements in 29 environmentally different agricultural regions located within the Kingdom of Saudi Arabia were obtained. Atmospheric pressure, air temperature, and air relative humidity were evaluated during the experiments. The utilized dust concentration in the air and the carbon monoxide concentration served as indicators of air pollution. However, we selected the concentration of dust in the air to represent air pollutants, as dust storms are important weather occurrences that affect air quality, public health, and visibility--especially in desert Saudi Arabia. Moreover, we selected the concentration of carbon monoxide due to car emissions of carbon monoxide having a negative impact on human health in addition to causing environmental pollution and climate change. A vital tool was established, offering both the public and the decision-makers an understandable gauge of air quality. The unequivocal success of these two indicators of air pollutants was not sufficient to compare the agricultural activities in the selected area; thus, a new indicator was developed and utilized to compare the pollution levels of the agricultural environments under study by assigning a weight to each variable according to its role in the pollution of the agricultural environment. The agricultural environment with the lowest indicator was the best environmentally, as the lowest and highest values of the integrated indicator ranged from 37.03% and 66.32%, respectively, with an arithmetic average of 48.24%. This indicator can change depending on the change in the weights of the variables involved, and it is suitable for application to any other agricultural or non-agricultural settings to evaluate the pollution level in the air. Our research has yielded insights that are broadly applicable and offer prospects for tackling air quality issues worldwide. We created the conditions for a more sustainable agricultural practice and advanced monitoring of the environment that utilizes both air pollutant indicators and the commonly available meteorological parameters. This study is of great worth for improving the air quality in agricultural environments. Finally, technological advancements continue, and future research could explore the integration of real-time data transmission capabilities into the developed portable device. Incorporating such capabilities would enable continuous monitoring and timely dissemination of air quality information, providing an even more dynamic and responsive approach to addressing environmental concerns in agricultural and non-agricultural settings. Finally, the limitations in this study are related to the measurement period, which can be increased in a future study. In addition, the results presented here were not related to the different seasons of the year. S.S.A., A.M.A., S.M.A.-S., A.A.A.-J. and S.A.M. conceptualization, methodology, analyzed the data, prepared figures and tables, funding acquisition, authored and reviewed drafts of the paper, and approved the final draft; and [PERSON] and A.A.A.-J., designed the experiments, performed the experiments. All authors have read and agreed to the published version of the manuscript. This research was funded by Researchers Supporting Project number (RSPD2024R752), King Saud University, Riyadh, the Kingdom of Saudi Arabia. Not applicable. The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author. **Acknowledgments:** The authors would like to extend their sincere appreciation to the Researchers Supporting Project (RSPD2024R752) at King Saud University, Riyadh, the Kingdom of Saudi Arabia. **Conflicts of Interest:** The authors declare no conflict of interest.