Bibliometric analysis of 'precision agriculture' in the Scopus database

This bibliometric analysis explores the rapid growth and evolving research dynamics of precision agriculture (PA) from 1999 to 2023 based on data from the Scopus database. Analyzing 1,219 publications, the study identifies a substantial global collaboration and an annual growth rate of 7.97% in PA research. Key findings highlight advancements in artificial intelligence and remote sensing technologies and significant contributions from leading institutions such as Nanjing Agricultural University, the University of Florida, and the University of Bonn. Notably, the study underscores the prominent role of institutions from Germany, the USA, and China in shaping PA research. The insights gained emphasize the critical role of interdisciplinary research in fostering sustainable agricultural practices. Precision agriculture demonstrates the potential for enhanced yields, reduced environmental impacts, and increased efficiency by addressing resource management and food security challenges, particularly in regions like Bangladesh. However, challenges such as high implementation costs and the need for technical expertise persist. This analysis underscores the importance of continued research, policy support, and global interest in advancing precision agriculture, providing a foundation for future innovations and policy development in sustainable agriculture systems worldwide.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17174090
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bibliometric analysis of 'precision agriculture' in the Scopus database

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Bibliometric analysis of 'precision agriculture' in the Scopus database

article en

Abstract

This bibliometric analysis explores the rapid growth and evolving research dynamics of precision agriculture (PA) from 1999 to 2023 based on data from the Scopus database. Analyzing 1,219 publications, the study identifies a substantial global collaboration and an annual growth rate of 7.97% in PA research. Key findings highlight advancements in artificial intelligence and remote sensing technologies and significant contributions from leading institutions such as Nanjing Agricultural University, the University of Florida, and the University of Bonn. Notably, the study underscores the prominent role of institutions from Germany, the USA, and China in shaping PA research. The insights gained emphasize the critical role of interdisciplinary research in fostering sustainable agricultural practices. Precision agriculture demonstrates the potential for enhanced yields, reduced environmental impacts, and increased efficiency by addressing resource management and food security challenges, particularly in regions like Bangladesh. However, challenges such as high implementation costs and the need for technical expertise persist. This analysis underscores the importance of continued research, policy support, and global interest in advancing precision agriculture, providing a foundation for future innovations and policy development in sustainable agriculture systems worldwide.

Zenodo (CERN European Organization for Nuclear Research)
Bangladesh Open University (BD), University of Rajshahi (BD)
Zero hunger
Openalex Percentile: Top 31%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bibliometric analysis of 'precision agriculture' in the Scopus database · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS