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:10.55041/IJSREM56020

Methsense – A Data Driven IoT Based Decision Support & Crop Monitoring Platform for Menthol

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56020

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56020

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

DR

Dipti Ranjan

AP

Akshita Pandey

AY

Aditya Yadav

Author Services & Downloads

Full Articles

Abstract

Mentha arvensis (menthol mint) is a high-value aromatic crop central to the agricultural economy of the Barabanki-Lucknow belt of Uttar Pradesh, yet its productivity remains constrained by traditional cultivation practices, limited technological adoption, and climate-driven uncertainties. This review synthesizes research advancements from 2021 to 2025, spanning agronomy, remote sensing, IoT-based monitoring, machine learning, digital advisory systems, and policy frameworks. Studies on AI-enabled irrigation, multimodal sensing, spectral vegetation indices, and improved cultivars highlight substantial opportunities for precision-driven interventions in mentha farming. IoT systems, solar-powered sensor networks, edge computing models, and predictive analytics demonstrate their potential to enhance irrigation scheduling, nutrient management, stress detection, and real-time decision support. Economic analyses and policy reports further emphasize mentha’s profitability and its suitability for technology-led transformation. By integrating insights from agriculture, computer science, and rural development, this review presents a unified understanding of digital and scientific innovations relevant to Mentha arvensis and identifies future directions for building scalable, farmer-centric smart farming ecosystems such as MentholGrow.

KEYWORDS

Mentha arvensis Menthol mint Smart Agriculture IoT-based monitoring Machine Learning Remote sensing Precision farming Edge computing Decision-support systems Aromatic crops Digital agriculture Uttar Pradesh Barabanki-Lucknow belt.

Cite This Article

Dipti Ranjan, Akshita Pandey, Aditya Yadav, "Methsense – A Data Driven IoT Based Decision Support & Crop Monitoring Platform for Menthol," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM56020

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

1/13/2026

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

3

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...