Economics at your fingertips  

Factors Affecting Precision Agriculture Adoption: A Systematic Litterature Review

Yatribi Taoufik
Additional contact information
Yatribi Taoufik: Department of Rural Economy, National School of Agriculture in Meknès, Morocco

Economics, 2020, vol. 8, issue 2, 103-121

Abstract: The aim of this paper is to present the main advances in the adoption of precision agriculture technologies. While we are witnessing the emergence of a literature dedicated to the adoption of new technologies, this theme still suffers from a lack of consensus on its conceptualization. Based on the prisma statement method (Preferred Reporting Items for Systematic Reviews and Meta-Analyzes), the objective is to carry out a review of the systemic literature in order to identify the main factors of adoption of the technologies of precision agriculture over the past ten years. The results show that individual factors are the most empirically identified as determining factors in the adoption of precision agriculture technologies. That said, the farmer is at the center of the adoption decision. Perceived utility is the factor most identified in the literature as the determinant of adoption.

Keywords: Technology adoption; technological innovations; precision agriculture; Systematic reviews (search for similar items in EconPapers)
JEL-codes: R11 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.2478/eoik-2020-0013

Access Statistics for this article

Economics is currently edited by Petar Đukić

More articles in Economics from Sciendo
Bibliographic data for series maintained by Peter Golla ().

Page updated 2022-07-30
Handle: RePEc:vrs:econom:v:8:y:2020:i:2:p:103-121:n:4