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:IJSREM57433

IOT and AI-Based Smart Crop Protection System for Real-Time Animals and Birds Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM57433

Volume:

10 |

3 |

Mar 2026

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

AS

Avanti Shelar1

SD

Siya Dhumal2

AW

Aditi Wayal3

MS

Manasi Sherkar4

SL

Sucheta Lonare5

Author Services & Downloads

Full Articles

Abstract

Agriculture is an important source of income in India, but farmers often suffer crop losses due to attacks by animals, insects, and birds. Animals such as buffaloes, cows, goats, birds, insects, and wild elephants enter farm fields in search of food and water, causing serious financial loss. It is difficult for farmers to watch their fields all the time. To solve this problem, this paper presents a smart and automatic system to detect animals, insects, and birds in agricultural fields. The system uses Infrared (IR) and ultrasonic sensors to detect movement near the farmland. When an intruder is detected, a controller turns on a sound system to safely scare the animals away and also sends alert messages to farmers through a GSM module. In addition, an IoT- and AI-based method using the Mobile Net model is included to improve early and accurate detection. The system works continuously to provide real-time monitoring and early warnings, helping to reduce crop damage and improve agricultural productivity in an eco-friendly manner.

KEYWORDS

Smart Agriculture IoT Birds and Animal Detectio Mobile Net Crop Protection GSM

Cite This Article

Avanti Shelar1, Siya Dhumal2, Aditi Wayal3, Manasi Sherkar4, Sucheta Lonare5, "IOT and AI-Based Smart Crop Protection System for Real-Time Animals and Birds Detection," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

10/2/2026

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

6

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...