Research Constituents and Trends in Smart Farming: An Analytical Retrospection from the Lens of Text Mining

Agriculture research began with the idea that local systems are interconnected. Thus, it was crucial to consider farmers, crops, and livestock. Smart farming arose Internet of Things (IoT) as people progressively digitized new information technology. Academic scientific groups innovate commercialize IoT-based agricultural products solutions. Many public private organizations also explore advancements. Therefore, we must stimulate communication cooperation among many industry actors build smart standards improve system technology interoperability. The study analyzed 3,229 published articles from in Scopus database between 2008 2022. collected corpus is preprocessed through various steps, creating a bag words. Text mining, latent semantic analysis, network analysis applied provide current areas based on key terms. terms taken term frequency-inverse document frequency score. experimented using KNIME VOSviewer. Finally, 10 provided K-means clustering for future researcher deep insight. This offered years top journals, authors, leading countries contributing farming. Research into myriad issues facing could begin these trends. helps researchers understand need more attention. It draws attention directions use further study.