Integration of Software Platforms Based on Secondary Air Quality Standards

Abstract

This paper presents the design and implementation of an integrated software platform that connects air quality monitoring systems with smart agriculture tools, with a focus on secondary air quality standards. The study investigates the correlation between air pollution and the development of tomato crops in the Plovdiv region of Bulgaria. The system integrates two intelligent agents: Air Agent, responsible for analysing real-time pollutant data, and Farmer Agent, which monitors the vegetation dynamics of tomato plants. Experimental results from the 2023 growing season indicate that elevated concentrations of PM2.5 and PM10 during critical growth stages significantly inhibited both plant height and stem development. The proposed platform utilises ontologies, asynchronous communication protocols, and data analytics to provide actionable insights for farmers and to support the practical application of environmental standards in agriculture. These findings underscore the importance of incorporating secondary air quality considerations into agricultural decision-making and environmental policy.