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July 2, 2026Global Knowledge Memory and Communication

Discovery of knowledge on digital agriculture: research productivity, current scientific outcome and future research directions

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Authors

JAJabir Ali

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Overview

This analysis maps research productivity and emerging themes in digital agriculture, suggesting future research directions.

Key Points

  • The aim is to analyze global scientific research productivity and knowledge discovery in digital agriculture.
  • Analyzed a dataset of 5,617 articles from the Scopus database published between 1980 and 2024.
  • Used RStudio and VOSViewer software for data analysis.
  • Mapped research productivity and identified future research themes.
  • Scientific research on digital agriculture shows a 14.8% annual growth rate from 1980 to 2024.
  • Knowledge discovery clustered around themes like remote sensing and precision agriculture initially.
  • Recent themes include machine learning, deep learning, IoT, smart farming, and the digital economy.

Cite This Study

Jabir Ali (2026) studied this question.

synapsesocial.com/papers/6a4600209ed1343031310550https://doi.org/10.1108/gkmc-05-2025-0390
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