Bibliometric Analysis of Sustainable Development Goals in Agricultural Development: Trends, Challenges, and Future Directions

This study employs bibliometric analysis to explore research trends, challenges, and innovations in aligning agricultural development with the Sustainable Development Goals (SDGs). Based on Scopus-indexed literature from 2016 to 2024, Citation Network Analysis (CNA) and Co-Occurrence Network Analysis reveal key thematic areas including SDG integration, sustainability trade-offs, food security, the water-energy-food nexus, and climate adaptation. The findings highlight critical regional disparities, governance gaps, and economic constraints that hinder effective implementation of sustainable agricultural strategies, particularly in developing regions such as Africa, India, and Bangladesh. Although technologies like precision agriculture, remote sensing, and smart irrigation offer promising solutions, their uptake remains limited due to infrastructural and financial barriers. The study underscores the need for inclusive policy frameworks, multi-stakeholder collaboration, and targeted investment in sustainable technologies. A noted limitation is the exclusive use of the Scopus database, which may overlook relevant research indexed elsewhere. These insights aim to inform policymakers, researchers, and practitioners in advancing SDG-aligned agricultural transformation through evidence-based strategies and global cooperation.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural Informatics
Published
2025-10-07
DOI
https://doi.org/10.17700/jai.2025.16.2.751
Primary Topic
Agricultural Innovations and Practices
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 Sustainable Development Goals in Agricultural Development: Trends, Challenges, and Future Directions

László Várallyai, Asep Yusup Mamun
Journal of Agricultural Informatics
Agricultural Innovations and Practices
article

Bibliometric Analysis of Sustainable Development Goals in Agricultural Development: Trends, Challenges, and Future Directions

László Várallyai, Asep Yusup Mamun
article en

Abstract

This study employs bibliometric analysis to explore research trends, challenges, and innovations in aligning agricultural development with the Sustainable Development Goals (SDGs). Based on Scopus-indexed literature from 2016 to 2024, Citation Network Analysis (CNA) and Co-Occurrence Network Analysis reveal key thematic areas including SDG integration, sustainability trade-offs, food security, the water-energy-food nexus, and climate adaptation. The findings highlight critical regional disparities, governance gaps, and economic constraints that hinder effective implementation of sustainable agricultural strategies, particularly in developing regions such as Africa, India, and Bangladesh. Although technologies like precision agriculture, remote sensing, and smart irrigation offer promising solutions, their uptake remains limited due to infrastructural and financial barriers. The study underscores the need for inclusive policy frameworks, multi-stakeholder collaboration, and targeted investment in sustainable technologies. A noted limitation is the exclusive use of the Scopus database, which may overlook relevant research indexed elsewhere. These insights aim to inform policymakers, researchers, and practitioners in advancing SDG-aligned agricultural transformation through evidence-based strategies and global cooperation.

Journal of Agricultural InformaticsVol. 16(2)
University of Debrecen (HU)
Openalex Percentile: Top 58%
Agricultural Innovations and Practices
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.