A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture
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Ruiz Real, José Luis![Autoridad Universidad de Almería Autoridad Universidad de Almería](/themes/Mirage2/images/autoridades/autoridad.png)
![Autoridad Universidad de Almería Autoridad Universidad de Almería](/themes/Mirage2/images/autoridades/autoridad.png)
![Autoridad Universidad de Almería Autoridad Universidad de Almería](/themes/Mirage2/images/autoridades/autoridad.png)
Fecha
2020-11-22Resumen
Technification in agriculture has resulted in the inclusion of more efficient companies that have evolved into a more complex sector focused on production and quality. Artificial intelligence, one of the relevant areas of technology, is transforming the agriculture sector by reducing the consumption and use of resources. This research uses a bibliometric methodology and a fractional counting method of clustering to analyze the scientific literature on the topic, reviewing 2629 related documents recorded on the Web of Science and Scopus databases. The study found significant results regarding the most relevant and prolific authors (Hoogenboom), supporting research organizations (National Natural Science Foundation of China) and countries (U.S., China, India, or Iran). The identification of leaders in this field gives researchers new possibilities for new lines of research based on previous studies. An in-depth examination of authors’ keywords identified different clusters and trends lin...
Palabra/s clave
artificial intelligence
agriculture
bibliometric analysis
cross world research