Research hotspots and frontiers in agricultural multispectral technology: Bibliometrics and scientometrics analysis of the Web of Science

Abstract

Multispectral technology has a wide range of applications in agriculture. By obtaining spectral information during crop production, key information such as growth, pests and diseases, fertilizer and pesticide application can be determined quickly, accurately and efficiently. The scientific analysis based on Web of Science aims to understand the research hotspots and areas of interest in the field of agricultural multispectral technology. The publications related to agricultural multispectral research in agriculture between 2002 and 2021 were selected as the research objects. The softwares of CiteSpace, VOSviewer, and Microsoft Excel were used to provide a comprehensive review of agricultural multispectral research in terms of research areas, institutions, influential journals, and core authors. Results of the analysis show that the number of publications increased each year, with the largest increase in 2019. Remote sensing, imaging technology, environmental science, and ecology are the most popular research directions. The journal Remote Sensing is one of the most popular publishers, showing a high publishing potential in multispectral research in agriculture. The institution with the most research literature and citations is the USDA. In terms of the number of papers, Mtanga is the author with the most published articles in recent years. Through keyword co-citation analysis, it is determined that the main research areas of this topic focus on remote sensing, crop classification, plant phenotypes and other research areas. The literature co-citation analysis indicates that the main research directions concentrate in vegetation index, satellite remote sensing applications and machine learning modeling. There is still a lot of room for development of multi-spectrum technology. Further development can be carried out in the areas of multi-device synergy, spectral fusion, airborne equipment improvement, and real-time image processing technology, which will cooperate with each other to further play the role of multi-spectrum in agriculture and promote the development of agriculture.

Precision Livestock Farming Research: A Global Scientometric Review

“…Analyzing the structural characteristics of research institutions is essential to identify influential institutions in the field and understanding inter-institutional cooperation [ 35 , 52 ]. To analyze the institutions involved in PLF research, we designated the node type as INSTITUTION in the CiteSpace function selection area.…”

Non-suicidal self-injury: A bibliometrics study and visualization analysis from 2002 to 2022

“…The network map of co-cited references timeline view was conducted by CiteSpace ( Figure 10 ), which displays the evolution of research hotspots over time. Clusters were formed by selecting keywords, and then a total of 11 clusters were generated by LLR algorithm; each of these clusters represents the activity of its future direction, the denser and more active the clusters in the graph, the more they represent the current research frontier ( 31 ). The elements on the horizontal axis represent co-cited references; the position of the element on the horizontal axis denotes the time of the first occurrence; and the line connecting the elements denotes the co-cited relationship.…”

Research frontiers and hotspots in bacterial biofilm wound therapy: bibliometric and visual analysis for 2012–2022

“…CiteSpace 6.1 software was used to conduct literature data cleaning and keyword emergence analysis, which helped summarize the research frontiers of cluster research and reveal the research frontiers of bacterial biofilm wound treatment. Through VOSviewer1.6.18, cluster analysis was conducted on the key information of the literature, such as countries, institutions, journals, authors, keywords, etc., to construct and visualize the symbiotic network of important terms extracted from the literature 9 . In addition, the study assessed journal impact factor (IF) and keyword trend maps from bibliometrics, a bibliometric project launched by Dr. Massimo Aria and Dr. Corrado Cuccurullo in 2017.…”