Smart Farming with IoT: A Bibliometric Analysis of Trends and Developments

Use of IoT in agriculture, known as smart farming has greatly changed how farming is carried out in the present society. Thus, the main goal of this research is to present the bibliography analysis of the field of smart farming with IoT, including academic trends, prominent papers, and emerging topics. In general, this research based on the analysis of a significant amount of data from the major databases available identifies the areas of interest, important contributions, and trends in the chosen topics. The nature and development of this interdisciplinary field is examined with the help of a variety of bibliometric tools and methods. This paper utilized metrics such as citation analysis, co-authorship networks, and keyword co-occurrence to reveal the relationship between different components of research. The analysis shows the trend indicating the increase of the publication and citation within the recent years, pointing to the ever-growing role of IoT in smart farming, crops monitoring, livestock tracking, and supply chain management. Furthermore, the study reveals the top authors, institutions, and countries that help progress smart farming technologies. It also addresses and speaks about the interprofessional collaborations and about the importance of the transdisciplinary research in this context. Technological advancements of artificial intelligence, machine learning, and blockchain in smart farming, which are expected to see the future research work in this filed, are also discussed. Apart from that, this bibliometric study also offers insights into the existing state of research related to smart farming with IoT besides acting as a reference map for the readers including but not limited to researchers, practitioners, and policymakers.