Year: 2024
Type: article
Abstract: This article reviews scientific articles on smart agriculture IoT.The aim is to explore both areas of research and practice.We compared annual growth, country production, and trending topics in publications by focusing on the topics most relevant to IoT in the smart agriculture industry.The analysis first selected publications from the period 2014-2023.Because this comparative analysis between smart agriculture scientometric data is new, the findings from this study can represent the basis for future research to identify new research opportunities for IoT.This study provides scholars with a better understanding of IoT research in the field of smart agriculture while expanding entrepreneurial knowledge in this field.Practitioners may benefit from this review to understand new and underexplored opportunities.
Authors: Yurui Lyu, Norris Syed Abdullah, Shanshan Yue
Institution: University of Technology Malaysia
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4405557030