Drone Technology in Pollution Monitoring and Source Tracking Using IoT and Arduino ESP8266

Drone Technology in Pollution Monitoring and Source Tracking Using IoT and Arduino ESP8266

Shivam Bhujbal1, Shubham Khetri2, Shivam Kumar3 , Aaditya Pardeshi4 , Shradha Kashid5

[1],[2],[3],[4] UG students, Department of Computer Science Engineering, MIT School of Computing, MIT Art, Design and Technology University, Pune, Maharashtra, India

[5] Teaching Assistant, Department of Computer Science and Engineering, MIT School of Computing, MIT Art, Design and Technology University, Pune, Maharashtra, India

ABSTRACT

The persistent increase in air pollution levels has catalyzed the search for innovative, efficient, and scalable monitoring solutions. Traditional static monitoring systems are limited in their ability to provide dynamic data for large or remote areas. To address these challenges, this paper presents a novel drone-based system that leverages IoT and Arduino ESP8266 for real-time pollution monitoring and source tracking. Equipped with GPS modules, the drone captures geotagged pollution readings and transmits them wirelessly to cloud-based IoT platforms such as ThingSpeak and Blynk for visualization and analysis. The proposed system offers a mobile, adaptable, and cost-effective alternative to traditional methods, enabling real-time decision-making and environmental management.