Precision Agriculture under a bibliometric view

Authors

DOI:

https://doi.org/10.31686/ijier.vol9.iss11.3533

Keywords:

smart agriculture, scientific mapping, bibliometrics, systematic review, indicators

Abstract

Precision Agriculture comprises techniques to monitor and control the differentiated application of agricultural inputs, considering the variability of cultivation areas over time to increase productivity and maintain environmental sustainability. Its current form considers the use of high-tech equipment to ensure food safety in the future and, therefore, constantly seeks research that produces innovations for the sector. However, there is a tremendous challenge in evaluating scientific development, given the large volume of information. This study aimed to carry out a scientific mapping of Precision Agriculture from a set of bibliometric techniques supported using the R bibliometrix tool. Based on this objective, the research questions were formulated and answered throughout qualitative quantitative and descriptive exploratory study. The data processing resulted 5,807 articles (13,705 authors) obtained from 1993 to 2020. Among the main results, there is constant growth in the number of publications, especially between 2016 and 2020; more significant concentration among countries, forming well-defined collaboration subnetworks through their institutions; presence of expressive central themes in the research with a high density of studies, such as the use of remote sensing combined with machine learning techniques, due to the growing trend in the amount of processed data.

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Author Biographies

Wanderson de Vasconcelos Rodrigues da Silva, Instituto Federal do Piauí

Post-graduation Program in Intellectual Property Science

Renata Silva-Mann, Universidade Federal de Sergipe

Post-graduation Program in Intellectual Property Science

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Published

01-11-2021

How to Cite

Silva, W. de V. R. da, & Silva-Mann, R. (2021). Precision Agriculture under a bibliometric view. International Journal for Innovation Education and Research, 9(11), 422–442. https://doi.org/10.31686/ijier.vol9.iss11.3533