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Bibliometric analysis and survey on electronic nose used in agriculture

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 2 (2024)

DOI
10.11591/ijece.v14i2.pp1369-1381
ISSN
2722-2578, 2088-8708
Published
2024-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Work carried out at the beginning of this century on improvements in semiconductor materials, transducers, sensors and artificial intelligence algorithms led to the rapid expansion of research topics related to the electronic nose, with diverse applications. Agriculture is a recent application field that needs a review of the usage of electronic noses in this field and the future challenges. The paper provided a bibliometric analysis and review of electronic noses used in agriculture. A search of published works on the e-nose and its applications in agriculture was carried out in the Web of Science and Scopus databases, which provide comprehensive citation data for academic disciplines worldwide. In the end, 2,953 documents were identified, and the data collected was analyzed mainly using the bibliometric toolbox, and then a deep study was carried out. The study results show that in the agricultural field, some works were achieved on different varieties of plants to detect disease or plant damage with very good results using electronic noses. However, less research was carried out to directly identify animals in crops like pests or environmental monitoring using electronic noses in agriculture. Some recommendations for future research efforts are finally provided.

Collaboration network of the authors

40 authors · 93 co-authorship links · 49 across different organisations · showing the 40 most connected

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

  • Universiti Teknikal Malaysia Melaka
  • University of Technology Malaysia
  • Islamic Azad University, Tehran
  • Université d'Abomey-Calavi
  • Universitas Ahmad Dahlan
  • Sultan Agung Islamic University
  • Tun Hussein Onn University of Malaysia
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nik Rumzi Nik IdrisUniversity of Technology Malaysia9
Mohammad JannatiUniversity of Technology Malaysia9
Mohd Hatta JopriUniversiti Teknikal Malaysia Melaka8
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia7
Mustafa ManapUniversiti Teknikal Malaysia Melaka7
Awang JusohUniversity of Technology Malaysia7
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka6
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka4
Muhammad AdoUniversity of Technology Malaysia4
Lina HandayaniUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Mahmoud ZadehbagheriIslamic Azad University, Tehran3
Mohammad Javad KianiIslamic Azad University, Tehran3
Vahdat NazerianUniversity of Mazandaran3
Auzani JidinUniversiti Teknikal Malaysia Melaka2
M. GhanbariAffiliation unknown2
Munawar Agus RiyadiDiponegoro University2
Deris StiawanSriwijaya University2
M. Najafi KhoshrodiAffiliation unknown2
A.S. HussinUniversiti Teknikal Malaysia Melaka2
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka2
Mehdi DadkhahIslamic Azad University, Tehran2
Shahaboddin ShamshirbandUniversity of Malaya2
Ahmad Saudi SamosirLampung University2
Ali AjamiAffiliation unknown2
Chibuike Peter OhanuUniversity of Nigeria2
Aiman Zakwan JidinUniversiti Teknikal Malaysia Melaka1
Rozana AlikUniversity of Technology Malaysia1
M.F. HabbanUniversiti Teknikal Malaysia Melaka1
Muhammad Firdaus Abd RazakUniversity of Technology Malaysia1
Mohamad Hamka Bin SaifulUniversity of Technology Malaysia1
Abdul Rashid HusainUniversity of Technology Malaysia1
Sahazati Md RozaliUniversiti Teknikal Malaysia Melaka1
Muhammad Nizam KamarudinUniversiti Teknikal Malaysia Melaka1
Abdulhamid Usman MutawakkilUniversity of Technology Malaysia1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Bibliometric analysis and survey on electronic nose used in agriculture</dc:title><dc:creator>Farel Kiki, Manhougbé Probus Aymard</dc:creator><dc:creator>Martial Ahouandjinou, Sèmèvo Arnaud Roland</dc:creator><dc:creator>Assogba, Kokou Marc</dc:creator><dc:creator>Sutikno, Tole</dc:creator><dc:description>&lt;jats:p&gt;Work carried out at the beginning of this century on improvements in semiconductor materials, transducers, sensors and artificial intelligence algorithms led to the rapid expansion of research topics related to the electronic nose, with diverse applications. Agriculture is a recent application field that needs a review of the usage of electronic noses in this field and the future challenges. The paper provided a bibliometric analysis and review of electronic noses used in agriculture. A search of published works on the e-nose and its applications in agriculture was carried out in the Web of Science and Scopus databases, which provide comprehensive citation data for academic disciplines worldwide. In the end, 2,953 documents were identified, and the data collected was analyzed mainly using the bibliometric toolbox, and then a deep study was carried out. The study results show that in the agricultural field, some works were achieved on different varieties of plants to detect disease or plant damage with very good results using electronic noses. However, less research was carried out to directly identify animals in crops like pests or environmental monitoring using electronic noses in agriculture. Some recommendations for future research efforts are finally provided.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-04-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v14i2.pp1369-1381</dc:identifier><dc:identifier>10.11591/ijece.v14i2.pp1369-1381</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 2 (2024); 1369</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/29724/17214</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>