Kushartadi, Tri and Mulyono, Aditya Eka and Al Hamdi, Azhari Haris and Rizki, Muhammad Afif and Faidar, Muhammad Anwar Sadat and Harsanto, Wirawan Dwi and Suryanegara, Muhammad and Asvial, Muhamad (2023) Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming. Information, 14 (7). p. 396. ISSN 2078-2489
Full text not available from this repository. (Request a copy)Abstract
The estimated global population for 2050 is 9 billion, which implies an increase in food demand. Agriculture is the primary source of food production worldwide, and improving its efficiency and productivity through an integration with information and communication technology system, so-called “smart farming”, is a promising approach to optimizing food supply. This research employed bibliometric analysis techniques to investigate smart farming trends, identify their potential benefits, and analyze their research insight. Data were collected from 1141 publications in the Scopus database in the period 1997–2021 and were extracted using VOS Viewer, which quantified the connections between the articles using the co-citation unit, resulting in a mapping of 10 clusters, ranging from agriculture to soil moisture. Finally, the analysis further focuses on the three major themes of smart farming, namely the IoT; blockchain and agricultural robots; and smart agriculture, crops, and irrigation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | bibliometric; smart farming; clustering; machine learning; text mining |
| Subjects: | Computers, Control & Information Theory Agriculture & Food |
| Depositing User: | Rizzal Rosiyan |
| Date Deposited: | 22 Dec 2025 04:28 |
| Last Modified: | 22 Dec 2025 04:28 |
| URI: | https://karya.brin.go.id/id/eprint/56845 |


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