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:IJSREM66730

FARMERS' SMART AGRICULTURAL PERCEPTION AND TECHNOLOGY ADOPTION: THE MEDIATING ROLE OF SOCIAL MEDIA

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66730

Volume:

10 |

8 |

Aug 2026

Pages:

1-23

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66730

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. Ramesh Kumar PM

Dr. Ramesh Kumar PM

PG Department of Commerce

Dwaraka Doss Goverdhan Doss Vaishnav College (Autonomous), Chennai

Download Author Certificate
RI

R Indumathi

PG Department of Commerce

Dwaraka Doss Goverdhan Doss Vaishnav College (Autonomous), Chennai

Download Co-Author Certificate
JS

J Satish

PG & Research Department of Commerce

Dwaraka Doss Goverdhan Doss Vaishnav College (Autonomous), Chennai

Download Co-Author Certificate
GN

G Nandini

PG Department of Commerce

Dwaraka Doss Goverdhan Doss Vaishnav College (Autonomous), Chennai

Download Co-Author Certificate
PB

P Balaji

PG& Research Department of Commerce

Guru Nanak College (Autonomous), Chennai

Download Co-Author Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Smart agricultural technologies such as mobile advisory applications, Internet of Things (IoT) sensors, and unmanned aerial vehicles (UAVs) hold considerable promise for improving farm productivity and resource efficiency, yet their adoption among farmers remains uneven. Drawing on an integrated Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT2) framework, this study examines the influence of farmers' perception, perceived usefulness, perceived benefit, effort expectancy, performance expectancy, social influence, and facilitating conditions on the adoption of smart agricultural technologies, and evaluates the mediating role of social media engagement in this relationship. Primary data were collected from 102 farmers using a structured Likert-scale questionnaire and analysed using descriptive statistics, Pearson correlation, and multiple linear regression. The results indicate that facilitating conditions and social influence are the strongest direct predictors of technology adoption, that perceived benefit and facilitating conditions most strongly predict social media engagement, and that effort expectancy and prior technology adoption significantly predict farmers' intention to use smart technologies. Social media, while strongly and positively correlated with adoption, did not emerge as a statistically significant independent predictor once facilitating conditions and social influence were accounted for, suggesting its role operates largely through its shared variance with these enabling conditions rather than as an independent driver. The findings offer practical guidance for policymakers, agricultural extension agencies, and agri-tech firms seeking to design infrastructure-linked, socially embedded interventions that accelerate the adoption of smart agricultural technologies.

KEYWORDS

Smart agriculture technology adoption social media UTAUT2 farmers' perception digital agriculture

Cite This Article

Dr. Ramesh Kumar PM, R Indumathi, J Satish, G Nandini, P Balaji, "FARMERS' SMART AGRICULTURAL PERCEPTION AND TECHNOLOGY ADOPTION: THE MEDIATING ROLE OF SOCIAL MEDIA," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-23, Aug 2026. https://doi.org/10.55041/IJSREM66730

Full Article/Conclusion

This study set out to examine the effect of farmers' perception on smart agricultural technology adoption and to assess the mediating role of social media in that relationship, using primary data from 102 farmers analysed through descriptive statistics, correlation, and multiple regression. The findings show that facilitating conditions and social influence are the most consistent and statistically significant drivers of both technology adoption and social media engagement, while farmers' general perception and perceived usefulness carry limited independent explanatory power once these enabling factors are accounted for. Social media engagement, while strongly correlated with adoption, is better understood as sharing common antecedents with adoption, principally facilitating conditions and perceived benefit, than as an independent causal mediator. These findings offer a more infrastructure- and community-centred picture of smart agricultural technology adoption than purely attitudinal models would suggest, and they carry direct implications for how policymakers, extension agencies, and agri-tech firms should sequence their interventions to accelerate the transition toward sustainable, technology-enabled farming.

References

Li, J., Liu, G., Chen, Y., & Li, R. (2023). Study on the influence mechanism of adoption of smart agriculture technology behavior. Scientific Reports, 13, Article 8571. https://doi.org/10.1038/s41598-023-35091-x Mishra, N., Bhandari, N., Maraseni, T., Devkota, N., Khanal, G., Bhusal, B., Basyal, D. K., Paudel, U. R., & Danuwar, R. K. (2024). Technology in farming: Unleashing farmers' behavioral intention for the adoption of agriculture 5.0. PLOS ONE, 19(8), Article e0308883. https://doi.org/10.1371/journal.pone.0308883 Schukat, S., & Heise, H. (2021). Towards an understanding of the behavioral intentions and actual use of smart products among German farmers. Sustainability, 13(12), Article 6666. https://doi.org/10.3390/su13126666 Yadav, J., Yadav, A., Misra, M., Rana, N. P., & Zhou, J. (2023). Role of social media in technology adoption for sustainable agriculture practices: Evidence from Twitter analytics. Communications of the Association for Information Systems, 52, 833–851. https://doi.org/10.17705/1CAIS.05240 Xu, J., Cui, Z., Wang, T., Wang, J., Yu, Z., & Li, C. (2023). Influence of agricultural technology extension and social networks on Chinese farmers’ adoption of conservation tillage technology. Land, 12(6), 1215. Yu, L., Shi, H., Wu, H., Hu, X., Ge, Y., Yu, L., & Cao, W. (2024). The role of climate change perceptions in sustainable agricultural development: evidence from conservation tillage technology adoption in Northern China. Land, 13(5), 705. Hu, H., Cao, A., Chen, S., & Li, H. (2022). Effects of risk perception of pests and diseases on tea famers’ green control techniques adoption. International journal of environmental research and public health, 19(14), 8465. Chuang, J. H., Wang, J. H., & Liang, C. (2020). Implementation of Internet of Things depends on intention: Young farmers’ willingness to accept innovative technology. International Food and Agribusiness Management Review, 23(2), 253-266. Onyari, C. (2021). Adoption determinants of adapted climate smart agriculture technologies among smallholder farmers in Machakos, Makueni, and Kitui Counties of Kenya. The Journal of Agricultural Extension.

Editorial & Review Transparency

Publication Date

8/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

17

Total views since publication

PDF Downloads

20

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...