Advances in Precision Coffee Growing Research: A Bibliometric Review
Open Access
Abstract
Precision coffee-growing technologies contribute to increased yield, operational efficiency, and final product quality. In addition, they strengthen coffee growing in the global agricultural scenario, which makes this activity increasingly competitive. Scientific research is essential for technological development and offering security regarding its application. For relevant research identification, bibliometric revision methods expose the best studies and their relationships with countries and authors, providing a complete map of research directions. This study identified the main contributions and contributors to academic research generation about precision coffee growing from 2000 to 2021. Bibliometric analysis was performed in VOSViewer software from the referential bases Scopus and Web of Science that identified 150 articles. Based on the number of citations, publications about precision coffee-growing showed Brazilian institutions at the top of the list, and Brazil’s close relationships with North American and South African institutions. Geostatistical analysis, remote sensing and spatial variability mapping of cultivation areas were used in most experimental research. A trend in research exploring machine learning technologies and autonomous systems was evident. The identification of the main agents of scientific development in precision coffee growing contributes to objective advances in the development and application of new management systems. Overall, this analysis represents wide precision coffee growing research providing valuable information for farmers, policymakers, and researchers.Keywords
This publication has 59 references indexed in Scilit:
- The benefits and challenges of using systematic reviews in international development researchJournal of Development Effectiveness, 2012
- Variabilidade espacial e temporal do fósforo, potássio e da produtividade de uma lavoura cafeeiraEngenharia Agrícola, 2012
- A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOSJournal of the American Society for Information Science and Technology, 2010
- Software survey: VOSviewer, a computer program for bibliometric mappingScientometrics, 2009
- Variabilidade espacial de atributos químicos e produtividade da cultura do café em duas safras agrícolasCiência E Agrotecnologia, 2008
- Spectral analysis and classification accuracy of coffee crops using Landsat and a topographic‐environmental modelInternational Journal of Remote Sensing, 2007
- Variabilidade espacial de atributos químicos e de produtividade na cultura do caféCiência Rural, 2007
- Forecasting emerging technologies: Use of bibliometrics and patent analysisTechnological Forecasting and Social Change, 2006
- Citation indexes for science. A new dimension in documentation through association of ideas†International Journal of Epidemiology, 2006
- Imaging from an unmanned aerial vehicle: agricultural surveillance and decision supportComputers and Electronics in Agriculture, 2004