Abstract
This research study shows how IoT technology can screen local meteorological conditions and share that information globally. Weather shifts cause extreme rainfall. A flood monitoring system uses NODEMCU ESP8266 to store and retrieve data and inform authorities of rising water levels using ultrasonic sensors and LEDs. Soil moisture affects crop growth. Its microprocessor and sensor improve soil moisture monitoring. An earthquake warning system can detect the slightest vibration before a major earthquake. Due to industry and autos, air quality is getting worse. Air quality and chemical content must be assessed using IoT since it has changed so much. Connected devices and enhanced sensor technology have transformed traditional environmental monitoring into a cutting-edge Smart Environment Monitoring System (SEMS). This paper evaluates SEM aids and research investigations, including air quality, weather, soil, and seismic monitoring systems. SEM applications segment the examination, with a deeper dig into each section's sensors. Discussion findings and analyzed research patterns form the basis for the in-depth analysis that follows the comprehensive review and suggests key SEMS research implications. The authors studied how IoT, machine learning, and other sensorbased advancements have made environmental monitoring smart.
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