The Future of Artificial Intelligence in Agricultural Field

Abstract

Artificial intelligence (AI) is well known for diverse applications in many fields including agriculture. The use of AI in the agricultural field has allowed for optimization in real-time and with less cost and effort. This chapter presents a bibliometric analysis of the future of AI in agriculture. This analysis was carried out using the online Scopus tool and VOSviewer software. The outputs show an increasing trend of documents from 1979 to 2021 and 2020 is the most productive year in terms of quantity. Computer science, engineering, Agricultural and Biological sciences, and environmental science are the main subjects while the United States, China, and India are the most influential in the field. United States, China, and India are the most influential in the field, while article and conference papers are the top two doctypes. For the trend, research in this field is turning toward machine learning, the Internet of things, deep learning, agricultural robots, learning algorithms, big data, data analysis, image processing, support vector machines, and automation.