UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 5 Issue 11
November-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1811352


Registration ID:
191287

Page Number

387-391

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Title

IMPLEMENTATION OF IoT AND MACHINE LEARNING IN HYDROPONICS: A REVIEW

Abstract

In order to keep up with the demands of the ever-increasing population, farmers and owners of commercial plantations are forced to resort to using harmful chemicals to produce more, but this affects the consumers in the long run. Hydroponics is the method of growing plants directly in a water medium, eliminating the use of soil, thereby taking away the high maintenance costs and side effects mentioned earlier. This paper covers several different metrics for managing plant growth using Internet of Things (IoT) and our objective is to derive a machine learning algorithm to optimize the values of all the metrics. Our future project focuses on devising a hydroponics system that is robust and has increased efficiency.

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"IMPLEMENTATION OF IoT AND MACHINE LEARNING IN HYDROPONICS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.387-391, November-2018, Available :http://www.jetir.org/papers/JETIR1811352.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IMPLEMENTATION OF IoT AND MACHINE LEARNING IN HYDROPONICS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp387-391, November-2018, Available at : http://www.jetir.org/papers/JETIR1811352.pdf

Publication Details

Published Paper ID: JETIR1811352
Registration ID: 191287
Published In: Volume 5 | Issue 11 | Year November-2018
DOI (Digital Object Identifier):
Page No: 387-391
Country: Thane, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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