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:IJSREM67126

IoT-Enabled Intelligent Mini Greenhouse for Automated Crop Environment Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67126

Volume:

10 |

9 |

Sep 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67126

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

MW

MammadRafeek Wallibayi

Department of Computer Applications

Visvesvaraya Technological University

Download Author Certificate
BSP

Bharati S. Pochal

Department of Computer Applications

Visvesvaraya Technological University

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

This paper presents a Smart IoT-Based Mini Greenhouse designed to automate environmental monitoring and control for precision agriculture. The proposed system uses a NodeMCU ESP8266 with temperature, humidity, soil-moisture, and mist sensors to continuously observe greenhouse conditions. Based on predefined environmental thresholds, the controller automatically operates a water pump, exhaust fan, misting unit, and LED grow light to maintain suitable conditions for plant growth. An LCD provides local information, while the Blynk IoT platform enables remote monitoring, alerts, and actuator control through a mobile application. The system reduces dependence on continuous manual supervision and supports more efficient use of water and energy. The implemented prototype demonstrates the feasibility of combining IoT sensing, automated actuation, and remote connectivity for small-scale greenhouse applications. The modular design can also be extended with additional sensors, data analytics, machine learning, and predictive control techniques for improved crop management.

KEYWORDS

IoT Smart Greenhouse Precision Agriculture NodeMCU ESP8266 Environmental Monitoring Automated Irrigation Soil Moisture Blynk Greenhouse Automation Remote Monitoring.

Cite This Article

MammadRafeek Wallibayi, Bharati S. Pochal, "IoT-Enabled Intelligent Mini Greenhouse for Automated Crop Environment Management," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-10, Sep 2026. https://doi.org/10.55041/IJSREM67126

Full Article/Conclusion

The proposed Smart IoT-Based Mini Greenhouse combines environmental sensing, automated control, and IoT-based monitoring to support efficient greenhouse management. The NodeMCU ESP8266 receives data from temperature, humidity, soil-moisture, and mist sensors and controls the water pump, exhaust fan, misting unit, and LED grow light according to predefined conditions. A 16×2 LCD provides local information, while the Blynk IoT platform enables remote monitoring and notifications. The developed system reduces the need for continuous manual supervision and provides an integrated approach to greenhouse environmental management. In future, the system can be improved by incorporating machine learning for predictive control, additional sensors for detailed crop monitoring, computer vision for plant health assessment, solar-powered operation, and cloud-based data analytics, making the greenhouse more adaptive and suitable for advanced precision agriculture.

References

[1] B. S. Pochal and A. A. Patil, “An Agricultural Robotic Device to Monitor Soil Moisture, Temperature, Humidity and Illumination Using IOT Cloud Visualization,” Journal of Emerging Technologies and Innovative Research (JETIR), vol. 5, no. 7, pp. 414–421, July 2018, ISSN: 2349-5162. ORCID ID: 0000-0001-9562-8420 [2] Bharati S. Pochal and Anitha, “An Advanced IoT Based Multi Activity Agriculture Robotic Platform with Android Controlled Navigation,” International Journal of Emerging Technologies and Innovative Research (JETIR), ISSN: 2349-5162, vol. 5, no. 8, pp. 714–724, Aug. 2018. [3] S. Arala and B. S. Pochal, “Application Framework for the Prediction of Common Diseases Using Machine Learning,” Journal of Scientific Research and Technology (JSRT), vol. 2, no. 8, Aug. 2024. [4] Rajguru and B. S. Pochal, “Skin Cancer Detection Using Deep Learning,” International Journal for Multidisciplinary Research (IJFMR), vol. 6, no. 6, Nov.–Dec. 2024. [5] S. Silpa, “Smart Greenhouses: IoT Technologies for Controlled Environments,” 2024. [6] S. Li, X. Li, and H. Wang, “IoT-Based Environmental Monitoring and Control for Smart Greenhouse Agriculture,” Computers and Electronics in Agriculture, 2021. [7] C. Bersani, C. Ruggiero, R. Sacile, E. Zero, and A. Delfino, “IoT-Based Smart Greenhouse: A Review,” 2022. [8] P. V. B. Astillo, J. Kim, V. Sharma, and I. You, “SGF-MD: Behavior Rule Specification-Based Distributed Misbehavior Detection of Embedded IoT Devices in a Closed-Loop Smart Greenhouse Farming System,” IEEE Access, 2020. [9] L. F. Urbano, M. A. C. others, “Smart Irrigation Systems Using Soil Moisture Sensors and IoT Technologies,” Sensors, 2020. [10] R. Rayhana, G. Xiao, and Z. Liu, “Internet of Things Empowered Smart Greenhouse,” IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2020.

Editorial & Review Transparency

Publication Date

9/5/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

4

Total views since publication

PDF Downloads

14

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...