The using of bibliometric analysis to classify trends and future directions on ''Smart Farm''
Paweena Suebsombut (CMU, UL2), Aicha Sekhari (UL2, DISP, IUT, Lumi\`ere), Pradorn Sureepong (CMU), Pittawat Ueasangkomsate (KU), Abdelaziz, Bouras (UL2)

TL;DR
This paper uses bibliometric analysis to identify research trends and clusters in smart farm technology, highlighting key areas like soil carbon emissions and farm management to guide future research directions.
Contribution
It introduces a bibliometric approach to classify and analyze research trends and clusters in the smart farm field, providing insights for future studies.
Findings
Two main research clusters identified: soil carbon emission and farm management.
Soil carbon emission from farming impacts climate change and food production.
Research trends support future development in smart farming technologies.
Abstract
Climate change has affected the cultivation in all countries with extreme drought, flooding, higher temperature, and changes in the season thus leaving behind the uncontrolled production. Consequently, the smart farm has become part of the crucial trend that is needed for application in certain farm areas. The aims of smart farm are to control and to enhance food production and productivity, and to increase farmers' profits. The advantages in applying smart farm will improve the quality of production, supporting the farm workers, and better utilization of resources. This study aims to explore the research trends and identify research clusters on smart farm using bibliometric analysis that has supported farming to improve the quality of farm production. The bibliometric analysis is the method to explore the relationship of the articles from a co-citation network of the articles and then…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
