A Bibliometric Analysis of Soil Nutrient Testing Using Digital Image Processing with Vosviewer

Authors

  • Shivani Sisodia, Saurabh Dhyani

Keywords:

Bibliometric analysis, image processing, soil testing, VOSviewer.

Abstract

As we know our environment is deteriorating rapidly. We need technological interventions to speed up the work done in order to save our environment. Our scientists, researchers, agriculturists and government invest a great deal of money in order to test soil samples. This area of research is based on use of technology in order to help with soil testing. This study is done to examine current and future trends in research related to “soil nutrient analysis using image processing”. We have used Scopus database to get articles related to area of interest and VOSviewer (1.6.19) version is used to extract details from articles using bibliometric analysis. Parameters such as keywords, author names, publication journals, organization, countries and citations have been considered. Statistics show that soil nutrient analysis using machine learning is a trending topic in research field. A total of 1400 publications were used from Scopus database. Findings suggest that maximum research has been done in this field by researchers of China. Major work has been done on identifying soil calcite, soil organic carbon etc. using image processing and minor work has been done in order to identify other micro-nutrients, macro-nutrients in soil such as NPK and pH of soil.

Downloads

Download data is not yet available.

References

Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45.

Zhang, C., Bu, Y., Ding, Y., & Xu, J. (2018). Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. Journal of the Association for Information Science and Technology, 69(1), 72-86.

Agarwal, A., Durairajanayagam, D., Tatagari, S., Esteves, S. C., Harlev, A., Henkel, R., ... & Bashiri, A. (2016). Bibliometrics: tracking research impact by selecting the appropriate metrics. Asian journal of andrology, 18(2), 296.

Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing, 52(1/2), 439-468.

Khanra, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2021). Bibliometric analysis and literature review of ecotourism: Toward sustainable development. Tourism Management Perspectives, 37, 100777.

Wang, S., Cheah, J. H., Lim, X. J., Leong, Y. C., & Choo, W. C. (2022). Thanks COVID-19, I'll reconsider my purchase: Can fear appeal reduce online shopping cart abandonment?. Journal of Retailing and Consumer Services, 64, 102843.

Caviggioli, F., & Ughetto, E. (2019). A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society. International journal of production economics, 208, 254-268.

Ferreira, C. M., & Serpa, S. (2018). Society 5.0 and social development. Management and Organizational Studies, 5(4), 26-31.

Gurzki, H., & Woisetschläger, D. M. (2017). Mapping the luxury research landscape: A bibliometric citation analysis. Journal of business research, 77, 147-166.

Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45.

Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28-34.

Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., ... & Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13).

Hamidah, I., Sriyono, S., & Hudha, M. N. (2020). A Bibliometric analysis of Covid-19 research using VOSviewer. Indonesian Journal of Science and Technology, 34-41.

Shah, S. H. H., Lei, S., Ali, M., Doronin, D., & Hussain, S. T. (2020). Prosumption: bibliometric analysis using HistCite and VOSviewer. Kybernetes, 49(3), 1020-1045.

Sisodia, S., Dhyani, S., Kathuria, S., Pandey, S., Chhabra, G., & Pandey, R. (2023, March). AI Technologies, Innovations and Possibilities in Wildlife Conservation. In 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA) (pp. 1090-1095). IEEE.

Downloads

Published

20.06.2024

How to Cite

Shivani Sisodia. (2024). A Bibliometric Analysis of Soil Nutrient Testing Using Digital Image Processing with Vosviewer. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 541–547. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6256

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.