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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57549

AgroWorld: An Integrated Machine Learning and Blockchain Framework for Smart Agriculture

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57549

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57549

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.

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Authors

AKB

Abilymol K Baby∗

AP

Aswathy PH#

SF

Sana Fathima&

NAM

Nimisha Ann Maria@

AM

Alpha Mathew

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Abstract

One big thing that keeps farming vital is that it feeds people and supports economies. Still, old-school methods hit snags now and then – weather shifts mess things up, water or fertilizer gets wasted, choices come too late, and who touched what stays unclear. Tech moves fast, though. Smarter tools pop up. These mix clever algorithms, online dashboards, remote data storage, and trust layers baked into records.We looked around at studies already out there. Focus landed here: exact planting tactics, AI guessing which crops fit best, websites guiding growers, and digital trails tracking food from soil to shelf. Looking into how tech boosts output on farms while cutting waste and showing every step food takes be-fore it reaches people.Even with gains made, problems stick around – expensive setup, systems failing to work together, doubts about keeping data safe, plus many growers still unfamiliar with new tools. What comes through is a call for one clear system built for real users: able to grow when needed, guided by practical choices, with protected handling of information woven throughout.

KEYWORDS

Smart farming Precision agriculture Machine learning Crop recommendation system Web-based agriculture Blockchain Supply chain manage-ment Food traceability.

Cite This Article

Abilymol K Baby∗, Aswathy PH#, Sana Fathima&, Nimisha Ann Maria@, Alpha Mathew, "AgroWorld: An Integrated Machine Learning and Blockchain Framework for Smart Agriculture," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57549

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Publication Date

12/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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Conflict of Interest

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

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