Visible to the public The using of bibliometric analysis to classify trends and future directions on \#x201C;smart farm \#x201D;

TitleThe using of bibliometric analysis to classify trends and future directions on \#x201C;smart farm \#x201D;
Publication TypeConference Paper
Year of Publication2017
AuthorsSuebsombut, P., Sekhari, A., Sureepong, P., Ueasangkomsate, P., Bouras, A.
Conference Name2017 International Conference on Digital Arts, Media and Technology (ICDAMT)
Date Publishedmar
ISBN Number978-1-5090-5210-3
KeywordsAgriculture, bibliometric analysis, Carbon dioxide, climate change, Collaboration, composability, farm areas, farming, farming activity, food production, food productivity, food safety, Human Behavior, human factors, Information analysis, Knowledge management, Meteorology, Metrics, Policy-Governed Secure Collaboration, product lifecycle management, Productivity, pubcrawl, Resiliency, Scalability, science mapping, science of security, Scopus online database, security, smart farm, Soil, soil carbon emission, supply chain, VOSviewer tool, Web of Science, WOS database

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 research in smart farm is categorized into two clusters that are soil carbon emission from farming activity, food security and farm management by using a VOSviewer tool with keywords related to research 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.

Citation Keysuebsombut_using_2017