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Article

Scientometric Analysis of the Application of Artificial Intelligence in Agriculture

Juan Pablo Garcia Vazquez1★, Ricardo Salomon Torres2, Dalila Blanca Perez Perez1★ Corresponding author

  1. 1Facultad de Ingenieria, MyDCI, Universidad Autonoma de Baja California, Mexicali B.C., MEXICO.
  2. 2Unidad Académica San Luis Río Colorado, Universidad Estatal de Sonora (UES), SLRC, Sonora, MÉXICO.

CORRESPONDENCE

Juan Pablo Garcia Vazquez

Facultad de Ingenieria, MyDCI, Universidad Autonoma de Baja California, Mexicali B.C., MEXICO.

pablo.garcia84@uabc.edu.mx

Received: 29-07-2020; Revised: 01-12-2020; Accepted: 10-02-2021.

Volume 10, Issue 1 · pp. 55–62 · PUBLISHED · DOI: 10.5530/jscires.10.1.7

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ABSTRACT

Artificial Intelligence (AI) is considered a key element to address the current challenges facing the agricultural sector related to food production and climate change. Since AI is successfully helping to optimize human processes or tasks in several sectors. In this study, we present a scientometric analysis to answer the question, what is the academic overview of the application of artificial intelligence in agriculture? We use references indexed in the Scopus, a scientometric methodology and software tools to perform the research. We identify that the countries with the highest number of publications are China, the United States, India, and Australia through document analysis. The United States is a country with more authors and institutions collaboration. The institution with the highest published number of papers was China Agricultural University, and also that Gerrit Hoogenboom, from the University of Florida, has leadership in publications. Finally, we identified that precision agriculture, smart farming, and smart sustainable agriculture refers to apply artificial intelligence and information technologies in agriculture. Also, we identify that the Internet of Things (IoT) is an emergent topic and that decision support systems and machine learning are the transversal topics.

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    Vazquez, J. P. G., Torres, R. S., & Perez, D. B. P. (). Scientometric Analysis of the Application of Artificial Intelligence in Agriculture. Journal of Scientometric Research, 10(1), 55–62. https://doi.org/10.5530/jscires.10.1.7