 |
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: October 2025
Volume 10 | Issue 10
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 : 10
Issue Published : 113
Article Submitted : 17731
Article Published : 7660
Total Authors : 20295
Total Reviewer : 744
Total Countries : 138
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | IOT-BASED SMART IRRIGATION SYSTEM BY USING ARTIFICIAL INTELLIGENCE |
| Authors Name: | N. Rahul , S. Sumathi , S. Rajaprabu , J.Prawin Kumar , R.Varthish |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_184899
|
| Published Paper Id: | IJRTI2212081 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | Regarding Agriculture Monitoring based on land or crops in the modern agricultural system, networking technology has been crucial. Since farmers can control their activities even more readily than before, it is possible to make choices even when farmers are not present. This also applies to water management in irrigation systems. The Internet of Things (IoT) keeps track of real-time data analysis from every agricultural crop that is gathered by sensors and devices. The irrigation techniques and patterns used in a nation like India, where agriculture is predominately centered on the unorganized sector, are ineffective and frequently result in needless water waste. A system that can offer an effective and deployable solution is therefore required. Using data on soil moisture, the automatic irrigation system we present in this study can water fields on its own. It is based on artificial intelligence (AI) and the internet of things (IOT). An intelligent system that selectively irrigates crop fields only when necessary, depending on the weather and current soil moisture levels is created by the system's prediction algorithms, which analyze historical meteorological data to identify and forecast rainfall patterns and climatic changes. With an accuracy rate of 80% during testing in a controlled setting, the technology effectively addresses the issue. |
| Keywords: | Artificial Intelligence, Irrigation, Internet Of Things, Prediction Algorithms, Machine Learning, And Water Conservation |
| Cite Article: | "IOT-BASED SMART IRRIGATION SYSTEM BY USING ARTIFICIAL INTELLIGENCE", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.544 - 549, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212081.pdf |
| Downloads: | 000205147 |
| 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: IJRTI2212081
Registration ID:184899
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 544 - 549 Country: Namakkal , Tamilnadu, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2212081 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2212081 |
| 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 © 2025 - All Rights Reserved - IJRTI | |||