A Bibliometric Analysis of Plant Disease Classification with Artificial Intelligence based on Scopus and WOS

Authors

Shivali Amit Wagle, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune, IndiaFollow
Harikrishnan R, Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University) (SIU), Pune, IndiaFollow

Date of this Version

2-3-2021

Abstract

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by area, influential authors, institutions, countries, and funding agency. The 1125 research documents are extracted from 2010 to 9th Jan 2021 from both the database. Bibliometric analysis is the statistical analysis of the research published as articles, conference papers, and reviews, which helps in understanding the impact of publication in the research domain globally. The visualization analysis is done with open-source tools namely GPS Visualizer, Gephi, VOS viewer, ScienceScape, minivan, and wordcloud. The visualization aids in a quick and clear understanding of the different perspectives as mentioned above in a particular research domain search.