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@article{188840,
author = {Shaunak Dandavate and Prajwal Bake and Sharada Desai},
title = {IoT Based Environment Monitoring System},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {7},
pages = {3538-3543},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=188840},
abstract = {This study presents an Internet of Things (IoT) based environmental monitoring and control system capable of capturing real-time data for multiple parameters temperature, relative humidity, air quality, soil moisture, atmospheric pressure, light intensity, and water levels. The system is built around an ESP32 microcontroller interfaced with a diverse set of sensors (DHT22, MQ135, BMP280, LDR, soil moisture sensor, HC-SR04), enabling continuous environmental assessment. A local 16×2 I²C LCD provides immediate on- site visualization, while Wi-Fi connectivity allows data upload to cloud platforms and remote monitoring via mobile applications and Telegram alerts. By integrating threshold-based automation, the system triggers automated responses (e.g., irrigation, ventilation) when environmental conditions deviate from predefined limits. In lab-scale testing, the system demonstrated stable performance, low latency, and minimal power consumption characteristics that make it suitable for scalable deployment. The proposed architecture draws on design principles validated in recent low-cost IoT environmental monitoring research, demonstrating that such platforms can be both affordable and reliable [ 1, 2]. The modular and extensible nature of the system renders it applicable to diverse domains, including precision agriculture, smart buildings, and urban-scale environmental monitoring.},
keywords = {},
month = {December},
}
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