Adoption of smart farming technologies in field operations: A systematic review and future research agenda

Hazem Yusuf Osrof, Cheng Ling Tan, Gunasekaran Angappa, Sook Fern Yeo, Kim Hua Tan

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

The agriculture sector, worldwide, faces grand challenges that significantly threaten food security and environmental sustainability. Smart farming technologies (SFTs) have emerged as a promising solution to mitigate these challenges and achieve the balance between productivity increment and environment safety, yet their adoption rate remains relatively low and fragmented. Extant literature, consequently, has extensively investigated and discussed the factors that affect the adoption of SFTs. Although some prior reviews have attempted to assemble previous discourse concerning the adoption of SFTs, they fell short in offering a comprehensive, structural, and focal overview. Hence, this paper reviews the literature around the adoption of SFTs with a specific focus on software and/or hardware technologies that are usually utilized to manage in-field agricultural activities. Using a framework-based systematic review, the paper synthesizes findings from 182 empirical studies to provide an in-depth and retrospective overview of the main theories, characteristics, contexts, and methods. The paper also demonstrates a state-of-the-art integrative framework of the main drivers of and barriers to the adoption of SFTs. Finally, the paper suggests future pathways for prospective scholars to advance our knowledge and understanding of the phenomenon of SFTs adoption.

Original languageEnglish (US)
Article number102400
JournalTechnology in Society
Volume75
DOIs
StatePublished - Nov 2023

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Business and International Management
  • Education
  • Sociology and Political Science

Fingerprint

Dive into the research topics of 'Adoption of smart farming technologies in field operations: A systematic review and future research agenda'. Together they form a unique fingerprint.

Cite this