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Communication Dans Un Congrès Année : 2017

The using of bibliometric analysis to classify trends and future directions on "Smart Farm"

Résumé

Climate change has affected the cultivation in all countries with e xtreme drought, flooding, higher temperature, and changes in the se ason 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 e nhance 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 e xamines 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 de ve lop research in the future by means of bibliometric analysis.
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Dates et versions

hal-04172634 , version 1 (27-07-2023)

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Paweena Suebsombut, Aicha Seklouli-Sekhari, Pradorn Sureepong, Pittawat Ueasangkomsate, Abdelaziz Bouras. The using of bibliometric analysis to classify trends and future directions on "Smart Farm". 2017 International Conference on Digital Arts, Media and Technology (ICDAMT), Chiang Mai University, Mar 2017, Chiang Mai, Thailand. pp.136-141, ⟨10.1109/ICDAMT.2017.7904950⟩. ⟨hal-04172634⟩
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