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:IJSREM46901

Farm Pro : Advanced crop trading and Disease detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46901

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem46901

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

AY

Aditya Yadav

AK

Ankit Khare

TS

Tushar Srivastava

VS

Vanshika Srivastava

Nt

Nupur trivedi

L

Lucknow

Author Services & Downloads

Full Articles

Abstract

– India’s economy relies heavily on agricultural depends which is the backbone of the country. Since many Indians depend on agriculture as their main source of income, farmers who farm as a profession or business are essential to the livelihood of a large segment of the population. In fact, people depend on many agricultural products in almost every aspect of their lives. But, farmers sometimes have challenges like inconsistent income, not enough buyers, and unfair pricing of their crops. By reducing the role of the middleman and enabling farmers to enter contracts with buyers, contract farming allows farmers to access buyers directly. By meeting consumers’ needs for premium products, contract farming benefits farmers with fair prices and assured access to markets. Overall, with machines available to monitor crops, preventing infestations, and improving quality and volumes of production, agriculture is being transformed. A technological change pattern is emerging via the application of machine learning. Real-time data analytics and artificial intelligence are allowing farmers to be more transparent and make decisions based on insights with information regarding pricing, demand, and climate. This is a win-win solution that gives farmers assured profit and consumers get seasonal produce quickly and reliably. In this way, it helps counteract the effects of climate change, ensure customers have nutritious food products with premium requirements and work against volatile market conditions in traditional agricultural practices.

KEYWORDS

Contract farming Disease detection Machine learning

Cite This Article

Aditya Yadav, Ankit Khare, Tushar Srivastava, Vanshika Srivastava, Nupur trivedi, Lucknow, "Farm Pro : Advanced crop trading and Disease detection," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem46901

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

5/4/2025

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

0

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...