Scientometric Analysis of Artificial Intelligence Research in Agriculture

Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 1064 academic documents on Trends of Artificial Intelligence Research in Agriculture...

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Bibliographic Details
Published in2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) pp. 136 - 141
Main Authors Maulana, Fairuz Iqbal, Pramono, Andi, Hamim, Miftahul, Prihatin, Sukeipah Yuli, Arifuddin, Rahman
Format Conference Proceeding
LanguageEnglish
Published IEEE 16.11.2022
Subjects
Agriculture
artificial intelligence
bibliometric
Bibliometrics
Data analysis
Indexes
mapping
Multimedia systems
scientometrics
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Summary:Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 1064 academic documents on Trends of Artificial Intelligence Research in Agriculture that we found from 2012 to 2021 were obtained by searching the Scopus database. This study uses bibliometric analysis methods to map scientific publications worldwide. We use an article selection process, the year limitation, then the database is exported to RIS and CSV format files. Researchers in the United States had the most published articles and were indexed by Scopus among the most prolific authors ( \mathrm{N}=287 ), followed by the United Kingdom at second ( \mathrm{N}=139 ) and Italy with 66 academic publications. Data analysis reveals an increasing trend in the number of Trends of Artificial Intelligence Research in Agriculture publications worldwide, as measured by the Scopus index.
DOI:10.1109/ICIMCIS56303.2022.10017948