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Iot-Based Environmental Monitoring and Prediction System Using Thinkspeak

Otuaro Ebierin Akpoebidimiyen, Bayem Donatus Ikechukwu

Abstract

The surveillance of environmental conditions is crucial for the conservation of nature and for equipping individuals to adapt to variations in weather patterns or pollution levels. This initiative focuses on the development of a cost-effective and straightforward system that leverages Internet of Things (IoT) technology to assess parameters such as temperature, humidity, air quality, light intensity, and precipitation. The system utilizes sensors to gather data, which is subsequently transmitted online, allowing users to easily access and interpret the information. The primary objective of this project is to establish a system capable of continuously monitoring these environmental variables in real time. The sensors interface with a microcontroller that relays the data via Wi-Fi to an online platform, specifically Thinkspeak. On this platform, users can visualize the data in user-friendly formats, such as charts and graphs. This facilitates the monitoring of fluctuations and enables proactive measures in response to anomalies, such as deteriorating air quality or excessive rainfall. The findings indicate that the system effectively captures precise data and delivers real-time updates. Additionally, it can notify users of any irregularities, such as abrupt shifts in weather or pollution metrics. In conclusion, this project offers an economical and dependable solution for environmental monitoring through IoT technology, with potential applications in agriculture, urban planning, and disaster preparedness.

Keywords

IoT (Internet of Things)Environmental MonitoringSensorsData

References

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