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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21579
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Intelligent Drone-Assisted Electrostatic Precipitation: An AI-Powered Solution for Dynamic Air Quality Enhancement |
| Authors Name: | Pasupulati Yogendra Maruthi , Pothapu Aditya , Akhil B |
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IJRTI_207272
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| Published Paper Id: | IJRTI2511026 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | This paper presents a pioneering approach to enhancing air quality by integrating drone technology with electrostatic precipitators (ESPs) and artificial intelligence (AI). By mounting ESP units on autonomous drones, the system achieves flexible, targeted removal of airborne particulates in diverse environments, including urban and industrial areas. The incorporation of AI enables real-time monitoring, adaptive control, and optimized deployment strategies, significantly improving the efficiency and responsiveness of pollution mitigation efforts. Experimental and simulation analyses demonstrate that this hybrid solution offers superior particulate capture rates and operational adaptability compared to traditional stationary ESPs. This innovative fusion of aerial mobility, electrostatic filtration, and intelligent data processing provides a scalable, smart framework for dynamic air quality management. |
| Keywords: | Drone-assisted air quality control, Electrostatic precipitator (ESP), AI-based pollution mitigation, Autonomous UAVs for air cleaning, Real-time air quality monitoring, Adaptive electrostatic precipitation, Particulate matter removal, Smart environmental management, Mobile air filtration system, AI-driven pollution control, Dynamic air pollution mitigation, Electrostatic filtration technology, UAV-ESP integration, Intelligent air purification system, Air quality enhancement using AI |
| Cite Article: | "Intelligent Drone-Assisted Electrostatic Precipitation: An AI-Powered Solution for Dynamic Air Quality Enhancement", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a187-a189, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511026.pdf |
| Downloads: | 000277 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511026
Registration ID:207272
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a187-a189 Country: Visakhapatnam, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511026 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511026 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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