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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
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)
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23479
Article Published : 9055
Total Authors : 24029
Total Reviewer : 831
Total Countries : 162
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Published Paper Details
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| Paper Title: | SmartLeakNet:Wireless Leak Monitor for Irrigation |
| Authors Name: | Muhammed Jasil V K , Muhammad Shasin K , Najiya N P , Shaza Shamsuddeen , Vaishakhi V K |
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IJRTI_210381
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| Published Paper Id: | IJRTI2603065 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | Efficient and intelligent water management is vital for modern urban and rural infrastructures. This project proposes a Machine Learning-based Water Supply Monitoring Network that ensures transparency, minimizes water loss, and enhances consumer utility tracking. The system integrates flow sensors and turbidity sensors across the distribution pipeline from the main storage tank to individual client endpoints. A Long Short-Term Memory (LSTM) based machine learning model is used to analyze sensor data, detect anomalies such as leakages, forecast future water demand, and monitor water quality. An Android app allows users to track daily water usage, receive alerts, and pay bills digitally, while an administrative dashboard enables authorities to monitor real-time data for informed decision-making. This smart water distribution system promotes sustainability, reduces wastage, and enhances the efficiency and accountability of water resource management. |
| Keywords: | Hybrid CEEMDAN–CNN–LSTM, Machine Learning, SoftMax-ELM, Adaptive Crow Search Optimization, ESP32, YFS201, Analog Turbidity Sensor |
| Cite Article: | "SmartLeakNet:Wireless Leak Monitor for Irrigation", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a512-a518, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603065.pdf |
| Downloads: | 00098 |
| 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: IJRTI2603065
Registration ID:210381
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: a512-a518 Country: Kannur, Kerala, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603065 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603065 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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