A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture
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...
| Main Authors: | , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
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MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/8926 |
| _version_ | 1789406331512291328 |
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| author | Ruiz Real, José Luis Uribe Toril, Juan Torres Arriaza, José Antonio Pablo Valenciano, Jaime de |
| author_facet | Ruiz Real, José Luis Uribe Toril, Juan Torres Arriaza, José Antonio Pablo Valenciano, Jaime de |
| author_sort | Ruiz Real, José Luis |
| collection | DSpace |
| description | 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 linking Artificial Intelligence and green economy, sustainable development, climate change, and the environment. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-8926 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-89262023-04-12T19:05:03Z A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture Ruiz Real, José Luis Uribe Toril, Juan Torres Arriaza, José Antonio Pablo Valenciano, Jaime de artificial intelligence agriculture bibliometric analysis cross world research 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 linking Artificial Intelligence and green economy, sustainable development, climate change, and the environment. 2020-11-23T12:08:17Z 2020-11-23T12:08:17Z 2020-11-22 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/8926 en https://www.mdpi.com/2073-4395/10/11/1839 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | artificial intelligence agriculture bibliometric analysis cross world research Ruiz Real, José Luis Uribe Toril, Juan Torres Arriaza, José Antonio Pablo Valenciano, Jaime de A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title | A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title_full | A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title_fullStr | A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title_full_unstemmed | A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title_short | A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture |
| title_sort | look at the past, present and future research trends of artificial intelligence in agriculture |
| topic | artificial intelligence agriculture bibliometric analysis cross world research |
| url | http://hdl.handle.net/10835/8926 |
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