Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM20109

A Review Paper on Smart Plant Management System using IoT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM20109

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

AVK

A Vijay Kumar

ERB

E Raj Bharath

GG

G Ganesh

RYR

R Yaswanth Reddy

Author Services & Downloads

Full Articles

Abstract

The IoT-based smart plant monitoring and irrigation system is a project that utilizes Blynk app, Node MCU ESP8266, soil moisture sensor, DHT11, PIR motion detection sensor, and an automatic plant watering system based on a threshold value. The project aims to address the challenges in plant monitoring and irrigation by collecting data about the plant’s environment and soil moisture levels using IoT technology and sensors. The collected data is analyzed by a microcontroller to trigger an automated irrigation system when the soil moisture level falls below a set threshold value. The system also includes a PIR motion detection sensor to detect motion and indicate the presence of animals or humans in the plant area using the Blynk app. This allows users to monitor and control the irrigation system and take appropriate action when necessary. The project details the hardware and software components of the system, the methodology used in the development process, and the testing and validation results. The system’s effectiveness in providing accurate and timely irrigation to plants, reducing water usage, and improving plant health is evaluated. The proposed project has the potential to provide an efficient and sustainable solution to plant irrigation in both small-scale and large-scale applications, while also addressing concerns related to animal or human intervention in the plant area.

KEYWORDS

Internet of Things (IOT) Node MCU ESP8266 Soil moisture sensor DHT11 sensor PIR Motion sensor Blynk App.

Cite This Article

A Vijay Kumar, E Raj Bharath, G Ganesh, R Yaswanth Reddy, "A Review Paper on Smart Plant Management System using IoT," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

2/4/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...