A Bibliometric Review of Data Science in Smart Farming

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 6

Year of Publication : 2025

Authors : Omprakash Mandge, Suhasini Vijaykumar

10.14445/23488379/IJEEE-V12I6P107

How to Cite?

Omprakash Mandge, Suhasini Vijaykumar, "A Bibliometric Review of Data Science in Smart Farming," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 6, pp. 79-103, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I6P107

Abstract:

Smart Farming has transformed the agricultural sector, resulting in extensive agronomic developments. Using advanced technology and insights-driven solutions to streamline agricultural processes and enhance overall farm productivity is known as "smart farming." Because data science enables the gathering, processing, and evaluation of vast amounts of farm-generated data, it is essential for smart farming. These data sources include satellite imagery, weather data, soil sensors, machinery data, crop health diagnostics, and market trends. Data science techniques empower farmers to make informed decisions by providing actionable insights into farming, from crop planning to yield prediction. The study employs quantitative and qualitative methods to examine key trends, influential publications, and emerging data science and smart farming research areas. It discusses various factors, including publication patterns, reference sources, prominent countries, significant authors, impactful publications, networks, emerging themes, and trending topics, focusing on India. The outcomes emphasize the use of data science in smart farming. This study proposes a design cycle for data science-driven automation and a novel and multi-phase framework for efficient agriculture.

Keywords:

Smart farming, Data science, Bibliometric analysis, Sustainable farming, Precision agriculture.

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