Smart Environmental Monitoring and COVID-19

Abstract

In this chapter, we explore the integration of artificial intelligence (AI) in enhancing environmental monitoring and managing the COVID-19 pandemic in Morocco. Utilizing AI-based event detection techniques, the authors extend their investigation from analyzing COVID-19 trends to applying predictive algorithms for environmental surveillance. This approach not only demonstrates AI's capacity in public health realms but also underscores its potential in environmental stewardship. Through detailed analysis, the authors illustrate how machine learning and data analytics significantly improve response strategies against pandemic threats and environmental degradation. Their findings reveal AI's critical role in developing resilient and sustainable monitoring systems, offering valuable insights for policymakers, researchers, and practitioners. This comprehensive study highlights the synergy between technological innovation and multifaceted crisis management, positioning AI as a cornerstone in advancing smart technologies for the betterment of public health and environmental sustainability in Morocco.