Analyzing and Visualizing Knowledge Structures of Research and Development Trends in Internet of Things for Smart Agriculture: A Decade Overview

¹ Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480
² Telecommunication Research Center, National Research and Innovation Agency, Jakarta, Indonesia 11480
³ Informatics Engineering Study Program, University of Madura, Pamekasan, Indonesia
⁴ Entrepreneurship Business Creation, BINUS Business School, Bina Nusantara University, Jakarta, Indonesia 11480
^5x Interior Design, School of Design, Bina Nusantara University, Jakarta, Indonesia

^* Corresponding author: fairuz.maulana@binus.edu

Abstract

Internet of Things (IoT) has become an increasingly important technology in Agriculture, has revolutionized the agricultural industry by providing farmers with real-time data on crop yields, soil moisture, and weather patterns. This research aims to provide a comprehensive overview of the latest developments in Scopus-based research on Internet of Things for Smart Agriculture over the last decade (2013-2022). A rigorous search method was used to identify IoT-related research publications in the Scopus database from 2013 to 2022. The study also identified research collaborations between various institutions, and countries and noted leading research contributions in this field. The top authors in this field are Kamienski, C., Suciu, G., and Debauche, O., while the top institutions are Vellore Institute of Technology, Universidade Federal do ABC, and Chandigarh University. The India, China, and United States were the most productive countries, with 356, 110, and 59 articles. The results of network visualization using VOSviewer found that there were 4 clusters based on their respective colours. The results of this study have the potential to provide valuable insights for scholars, practitioners, politicians, and funding organizations seeking to gain a comprehensive grasp of the current trends and objectives within this particular subject. The authors and institutions selected as the top performers in this study can provide excellent opportunities for cooperation and facilitate the acquisition of up-to-date knowledge in Smart Agriculture.