Global trend of agricultural precision for plant pathology: Bibliometric study in Scopus database

Junaid, Muhammad; Taib, Nurlaila S.; Sukmawati, Sukmawati; Zabrina, Gita

doi:10.64128/wppj.v1i1.42069

Open access Jurnal

Global trend of agricultural precision for plant pathology: Bibliometric study in Scopus database

Wallacea Plant Protection Journal · Vol. 1 No. 1 (2025) · pp. 19–31

DOI: 10.64128/wppj.v1i1.42069
ISSN: 3090-5079
Published: 2025-05-10
Publisher: Department of Plant Pest and Diseases, Faculty of Agriculture, Hasanuddin University
Language: en
License: creativecommons.org/licenses/by/4.0

Abstract

This bibliometric study investigates the global trends in agricultural precision within plant pathology, utilizing data from the Scopus database. This research identifies key research hubs, influential authors, and emerging themes in the domain by analyzing publication patterns, citation metrics, and keyword co-occurrence. The study highlights the increasing integration of advanced technologies such as remote sensing, machine learning, and big data analytics in plant pathology research. The findings underscore the growing emphasis on precision agriculture to enhance disease detection, management, and crop productivity. This comprehensive analysis provides valuable insights for researchers, policymakers, and practitioners aiming to leverage technological advancements for sustainable agricultural practices.

Keywords

Collaboration network of the authors

14 authors · 45 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

Sriwijaya University
Affiliation unknown

Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles

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Co-author	Organisation	Joint articles
Erwin Erwin	Sriwijaya University	1
Andi Nasruddin	Affiliation unknown	1
M. Bayu Mario	Affiliation unknown	1
Satriani Gassing	Affiliation unknown	1
Nurfalah Asa’Diyah	Affiliation unknown	1
Eirene Brugman	Affiliation unknown	1
Muhammad Wirahadikusuma Azis	Affiliation unknown	1
Wardani Syahrani	Affiliation unknown	1
Sulaeha Sulaeha	Affiliation unknown	1
Andi Nadya Tenri Uleng	Affiliation unknown	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/wppj/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en">Global trend of agricultural precision for plant pathology: Bibliometric study in Scopus database</dc:title>
	<dc:creator xml:lang="en">Junaid, Muhammad</dc:creator>
	<dc:creator xml:lang="en">Taib, Nurlaila S.</dc:creator>
	<dc:creator xml:lang="en">Sukmawati, Sukmawati</dc:creator>
	<dc:creator xml:lang="en">Zabrina, Gita</dc:creator>
	<dc:subject xml:lang="en">Citation metrics</dc:subject>
	<dc:subject xml:lang="en">Disease detection</dc:subject>
	<dc:subject xml:lang="en">Machine learning</dc:subject>
	<dc:subject xml:lang="en">Remote sensing</dc:subject>
	<dc:subject xml:lang="en">Sustainable agriculture</dc:subject>
	<dc:description xml:lang="en">This bibliometric study investigates the global trends in agricultural precision within plant pathology, utilizing data from the Scopus database. This research identifies key research hubs, influential authors, and emerging themes in the domain by analyzing publication patterns, citation metrics, and keyword co-occurrence. The study highlights the increasing integration of advanced technologies such as remote sensing, machine learning, and big data analytics in plant pathology research. The findings underscore the growing emphasis on precision agriculture to enhance disease detection, management, and crop productivity. This comprehensive analysis provides valuable insights for researchers, policymakers, and practitioners aiming to leverage technological advancements for sustainable agricultural practices.</dc:description>
	<dc:publisher xml:lang="en">Department of Plant Pest and Diseases, Faculty of Agriculture, Hasanuddin University</dc:publisher>
	<dc:date>2025-05-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/wppj/article/view/42069</dc:identifier>
	<dc:identifier>10.64128/wppj.v1i1.42069</dc:identifier>
	<dc:source xml:lang="en">Wallacea Plant Protection Journal; Vol. 1 No. 1 (2025); 19-31</dc:source>
	<dc:source>3090-5079</dc:source>
	<dc:source>10.64128/wppj.v1i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/wppj/article/view/42069/12790</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Muhammad Junaid, Nurlaila S. Tabib, Sukmawati Sukmawati, Gita Sabrina</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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