Knowledge Mapping of Machine Learning Approaches Applied in Agricultural Management—A Scientometric Review with CiteSpace

With the continuous development of Internet Things, artificial intelligence, big data technology, and intelligent agriculture have become hot topics in agricultural science technology research. Machine learning is one core its application has penetrated every aspect human social life. In modern management decision making, machine plays an important role crop classification, disease insect pest prediction, product price other aspects decision-making processes agriculture. To detect recognize latest research developing features a quantitative visual way, based on methods management, authors this paper used CiteSpace bibliometric to analyze relevant studies process spots. High-value references, productive authors, country institution distributions, journal visualizations, topics, emerging trends were reviewed analyzed. According keyword visualization high-value approaches focus sustainable agriculture, water resources, remote sensing, methods. The mainly focuses six topics: land environment, reference evapotranspiration, support systems for river geography, soil winter wheat, while been most popular recent years.