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: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/10/11/1839 |
| _version_ | 1797547165857349632 |
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| author | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Arriaza Jaime de Pablo Valenciano |
| author_facet | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Arriaza Jaime de Pablo Valenciano |
| author_sort | José Luis Ruiz-Real |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T14:39:24Z |
| format | Article |
| id | doaj.art-d682de41edad46708e47987c72edfd22 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T14:39:24Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-d682de41edad46708e47987c72edfd222023-11-20T21:55:05ZengMDPI AGAgronomy2073-43952020-11-011011183910.3390/agronomy10111839A Look at the Past, Present and Future Research Trends of Artificial Intelligence in AgricultureJosé Luis Ruiz-Real0Juan Uribe-Toril1José Antonio Torres Arriaza2Jaime de Pablo Valenciano3Faculty of Economics and Business, University of Almeria, Ctra. De Sacramento, s/n, 04120 Almería, SpainFaculty of Economics and Business, University of Almeria, Ctra. De Sacramento, s/n, 04120 Almería, SpainDepartment of Computer Science, University of Almeria, Ctra. De Sacramento, s/n, 04120 Almería, SpainFaculty of Economics and Business, University of Almeria, Ctra. De Sacramento, s/n, 04120 Almería, SpainTechnification 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.https://www.mdpi.com/2073-4395/10/11/1839artificial intelligenceagriculturebibliometric analysiscross world research |
| spellingShingle | José Luis Ruiz-Real Juan Uribe-Toril José Antonio Torres Arriaza Jaime de Pablo Valenciano A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture Agronomy artificial intelligence agriculture bibliometric analysis cross world research |
| 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 | https://www.mdpi.com/2073-4395/10/11/1839 |
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