 |
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Oil Spill Detection |
| Authors Name: | Krushnal Patil , Vanshaj Saraf , Neha Hambir , Archana Kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203860
|
| Published Paper Id: | IJRTI2505233 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | Abstract- Oil spills are major environmental disasters, threatening marine life, coastal economies, and public health. Rapid and precise detection is crucial for minimizing their impact. This study examines cutting- edge technique for oil spill identification: a machine learning and deep learning-based image processing system using drone-captured imagery. The paper explores data collection, algorithmic approaches, and performance evaluations. Findings indicate that merging these techniques enhances detection reliability and facilitates quicker emergency responses. |
| Keywords: | Oil Spill Monitoring, Remote Sensing, SAR Technology, Unmanned Aerial Vehicles (UAVs), Machine Learning, Environmental Protection. |
| Cite Article: | "Oil Spill Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c309-c315, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505233.pdf |
| Downloads: | 000421 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2505233
Registration ID:203860
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c309-c315 Country: Pune, Maharashtra, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505233 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505233 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||