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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 17731
Article Published : 7660
Total Authors : 20295
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| Paper Title: | IOT-BASED SMART IRRIGATION SYSTEM BY USING ARTIFICIAL INTELLIGENCE |
| Authors Name: | N. Rahul , S. Sumathi , S. Rajaprabu , J.Prawin Kumar , R.Varthish |
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IJRTI_184899
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| 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 |
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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: 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 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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