Air quality is getting worse worldwide, especially in cities with high population density and many industrial parks. Raising  community  awareness  and  applying  science  and technology are effective ways to mitigate the negative impacts of industrialization and pollution on the natural environment as well  as  public  health.  This  work  presents  the  design  and deployment  of  an  IoT-based  air  quality  monitoring  system, named the Environmental Monitoring System (EnMoS). LoRa (Long-Range)  wireless  communication  technology  and innovation sensors being used aim to facilitate the development of data communication network over a large area, improving sensing  reliability,  extending  battery  life  as  well  as  reducing total  system  costs.  The  air  quality  factors  such  as  particulate matter  (PM2.5  and  PM10),  carbon  dioxide  (CO 2 ),  air temperature and humidity, after being read from the sensors were uploaded to a real-time database server for Air Quality Index  (AQI)  calculation.  In  addition,  for  indicating conveniently obtained AQI values a web page is also developed to provide an interactive map along with corresponding charts. A  case  study  on  an  actual  LoRa  network  consisting  of  three sensing nodes and a gateway were conducted for validating the feasibility of the system.