  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 science mapping is used to
identify clusters in the relationship. This study examines the selected
research articles in the smart farm field. The area of re search in smart farm
is categorized into two clusters that are soil carbon e mission from farming
activity, food security and farm management by using a VO Sviewer tool with
keywords related to re search articles on smart farm, agriculture, supply
chain, knowledge management, traceability, and product lifecycle management
from Web of Science (WOS) and Scopus online database. The major cluster of
smart farm research is the soil carbon emission from farming activity which
impacts on climate change that affects food production and productivity. The
contribution is to identify the trends on smart farm to develop research in the
future by means of bibliometric analysis.
