A Look at the Past, Present and Future Research Trends of Artificial Intelligence in Agriculture

被引:27
|
作者
Ruiz-Real, Jose Luis [1 ]
Uribe-Toril, Juan [1 ]
Torres Arriaza, Jose Antonio [2 ]
de Pablo Valenciano, Jaime [1 ]
机构
[1] Univ Almeria, Fac Econ & Business, Ctra Sacramento,S-N, Almeria 04120, Spain
[2] Univ Almeria, Dept Comp Sci, Ctra Sacramento,S-N, Almeria 04120, Spain
来源
AGRONOMY-BASEL | 2020年 / 10卷 / 11期
基金
美国食品与农业研究所; 中国国家自然科学基金;
关键词
artificial intelligence; agriculture; bibliometric analysis; cross world research; DECISION-SUPPORT; SYSTEMS;
D O I
10.3390/agronomy10111839
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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.
引用
收藏
页数:16
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