Speaker
Description
The environmental vulnerabilities have increased due to climate change as well as rapid urbanization, with the emerging microbial risks as a crucial aspect of urban resilience. The conventional monitoring systems frequently unable to record microbial activities in water, air, in addition to soil in real time, which limits the necessary interventions to be taken in the nick of time. This study discovers the way digital transformation with the assistance of AI, IoT enable biosensors, as well as big data platforms could reshape the environmental microbiology. If urban planning as well as governance systems, incorporates microbial data streams, then cities will be able to detect contamination, expect outbreaks, in addition to optimize the use of sustainable resources. The study will cover the gaps in the current literature, and it will further cover the case studies from smart city initiatives across the globe to show the digital tools could improve resilience in air quality surveillance, wastewater epidemiology, as well as soil health monitoring. This study will stress on the ways smart infrastructure could be integrated with environmental microbiology, while covering the possible benefits and obstacles on this path. Then, some graphical analysis will be done to understand the future of digitally transformed environmental microbiology to assist the smart monitoring systems in the making of resilient cities.
