Network Analysis on Artificial Intelligence in Agriculture, a Bibliometric Review

Ahmed Karmaoui ()
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Ahmed Karmaoui: Moulay Ismail University, Meknès and Moroccan Center for Culture & Science

A chapter in Digital Transformation for Sustainability, 2022, pp 409-428 from Springer

Abstract: Abstract Artificial Intelligence (AI) is a smart technology that can make decisions in real-time and low effort in many fields including agriculture. The AI technologies are changing agriculture based on sensors and cameras. This chapter reports on a literature review of the global collaboration and trends on AI in agriculture field (AIA). A number of 2143 documents were retrieved from 1984 to 2021 and processed using VOSviewer tool. The findings show an increasing trend in productivity on AIA, and 2013 was the starting point of an exponential evolution of the number of publications. Fu, Z. is the top author concerning the number of indexed publications followed by Ampatzidis. China Agricultural University, Chinese Academy of Science, and the University of Florida are the most influential affiliations. China (n = 364), the United States (n = 317), and India (n = 311) are the top three most productive countries on this topic. Research on AIA is turning to agricultural robots, Internet of things (IoT), big data, deep learning, and internet, etc. The keywords estimated using the software were classified based on field criteria into four levels: resources (groundwater), farms & agriculture, tools & techniques, and decision & management. This classification was used to develop a framework that can be considered as a decision-making tool to optimize agriculture using AI.

Keywords: Global collaboration; VOSviewer; Bibliometric analysis; Research trends; Predictive analytics (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-15420-1_20

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DOI: 10.1007/978-3-031-15420-1_20

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