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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45430
Volume:
9 |
4 |
Apr 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The paper introduces a full framework of a Drone Data Monitoring System that uses IoT technology to efficiently monitor environments. This way, the system functions steadily via an Android application that would allow users to control unmanned aerial vehicles, collect data, and determine results in real time. Advanced sensors from the system promote capture and monitoring of environmental factors like air quality, water levels, and changes in land use. This proposed system shall work based on the following elements: Drone Technology: Drones come equipped with high-definition cameras and environmental sensors that capture data from various landscapes-from the city to the countryside. IoT Integration: The collected data is transmitted through IoT protocols to the central database for processing. This provides remote accessibility and real-time updates on the environmental conditions. Mobile App: The UI consists of a user-friendly Android app that is user-friendly for people to watch the drones fly, see data analysis, and receive alerts on changes or anomalies with the environment. These various data processing algorithms use machine learning methods to analyze the incoming data in regard to identifying trends and predictive information based on potential issues like pollution and degradation in habits. This system would help overcome some of the major challenges of environmental monitoring in that it offers timely data to support decision-making processes concerning urban planning and ecological conservation. In addition, it enhances public awareness through the user’s participation with real-time environmental data on their mobile devices. Given this, the Drone Data Monitoring System using IoT via an Android App consequently sums up imposing technological advancement and practical application to the promotion of sustainable development. Future work will therefore focus on an expansion of sensor capability along with integration of additional analytical tools towards functionality and user experience of the system.
KEYWORDS
Publication Date
4/22/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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