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Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis
Priya Rani Bhagat1, Farheen Naz1, Robert Magda1,2
1Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary.
Plos One
|June 9, 2022
Summary
Artificial Intelligence (AI) in sustainable agriculture is a growing research field. Bibliometric analysis of 465 studies (2000-2021) shows a significant increase in publications since 2018, with leading contributions from China, USA, and India.
Area of Science:
- Agricultural Science
- Computer Science
- Environmental Science
Background:
- Limited bibliometric analyses exist on Artificial Intelligence (AI) in sustainable agriculture.
- This study addresses the research gap by analyzing AI's role in sustainable farming practices.
Purpose of the Study:
- To conduct a systematic bibliometric analysis of AI in sustainable agriculture from 2000-2021.
- To identify research trends, geographical distribution, and collaboration patterns.
Main Methods:
- Systematic bibliographic analysis of 465 articles and reviews (2000-2021).
- Visualization using VOSviewer and Biblioshiny software.
- Analysis of geographical collaboration and co-author networks.
Main Results:
- A significant increase in academic publications on AI in sustainable agriculture observed since 2018.
- China, USA, India, Iran, and France are leading countries in research output.
- Multi-disciplinary collaborations identified among prominent authors from USA, China, UK, and Germany.
Conclusions:
- The field of AI in sustainable agriculture is experiencing rapid growth.
- Key countries and institutions for collaboration in AI for sustainable agriculture have been identified.
- The study provides a framework for future research and identifies opportunities for co-authorship.
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