###### Abstract
Some researchers have attempted to use Arduino boards and related sensors to monitor air pollutants and meteorological variables [9; 10]. Air pollutants, which can be measured by sensors that can be linked to an Arduino board, are carbon monoxide (CO), which can be detected by the MQ7 sensor [11; 12; 13]. Moreover, dust concentration in the air can be detected by Sharp's optical dust sensor, GP2Y1010 AU0F, which can be linked to an Arduino board [12; 14]. Additionally, weather variables of the surroundings, such as air temperature and relative humidity, can also be monitored using related sensors of DHT11 [15; 16; 17]. Moreover, air pressure can be detected using the BMP180 Barometric Pressure Sensor [17; 18]. All these sensors measure the pollutants and weather variables in the air and generate real-time data, which can either be seen on a computer or an Android device using the Bluetooth module [12]. Research on air quality 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 the approaches and procedures used for the evaluation of air quality levels in agricultural settings in the literature draws attention to the deficiencies and the necessity of further research in this area [19]. The air quality was based only on parameters related to air pollutants, and it neglected the effect of weather parameters such as air temperature, air relative humidity, and atmospheric pressure. Considering these limitations in the literature, the research problem for this study can be summarized as follows: In light of the quest to provide the best environment within agricultural spaces, how can modern technological means contribute to the measurement and monitoring of air quality in the agricultural environment and to the enhancement of air quality in the agricultural environment. The importance of this study from an applied perspective is that it may contribute to scientific efforts aimed at measuring air pollutants in agricultural settings. It may also contribute to the opening of new horizons for conducting further research aimed at predicting air quality standards, which may be useful in preserving the environment; this research would add information that may help in detecting the levels of pollution in various agricultural environments in the Kingdom of Saudi Arabia or other places with similar conditions. This study contributes to the literature in two ways. (1) This study utilizes a large sample covering different agricultural environments to reflect the general circumstances in agricultural settings. (2) This research further examines the possible moderating effects of the integration between climate factors and some air pollutants on the level of air quality in different agricultural settings. [PERSON] et al. (2020) used sensors to measure the levels of carbon dioxide and carbon monoxide, temperatures, and relative humidity in the environment; these readings were transmitted to a smartphone that gave a warning message if the measured levels were higher than the recognized limit. A study by [PERSON] et al. (1998) used the GP2Y1010 AU0F sensor to determine the concentration of dust particles in the air. The sensor was connected to an Arduino Mega 2560 board, and data could be transferred to an Android phone using a Bluetooth connection with a device or computer through the COM port. [PERSON] et al. (2018) used a sensor to measure carbon dioxide levels in classrooms with a Raspberry PI board. Temperatures and relative humidity were also measured with their sensors, and the readings were transferred to a site on a server connected to the internet, where the user could view the air quality inside the classroom. They showed that the developed system was low-cost. [PERSON] et al.