An article by Amir Rahmani, its first co-author, Faculty member at Khazar University Department of Computer Science, entitled “An intelligent algorithm to recommend percent vegetation cover (ARVC) for PM reduction”, was published in “Air Quality, Atmosphere & Health”, an international journal from Springer collection.

The researchers examined the effectiveness of a new algorithm based on fuzzy and neural network methods to detect air quality and recommend the density percentage and vegetation cover required for air quality. The studies were conducted with periodic measurements and assessments of weather conditions during the fall and winter period. It was found that the recommended vegetation cover leads to a 20-74% reduction in PM2.5, i.e. air pollution with particles smaller than 2.5 micrometers.

The article can be read at this link:

https://link.springer.com/article/10.1007/s11869-020-00844-4#auth-2