| Taking the intelligent agriculture literature published form 2009 to 2020 included by CNKI as the research object, the paper draws the knowledge graph by using CitespaceV software to visualize and analyze the development status and hot spots of intelligent agriculture, and puts forward countermeasures and suggestions. Researches show that the number of research papers on intelligent agriculture shows an increasing trend, especially, the development of such researches has entered into a rapid growth phase in recent years. Chinese Academy of Agricultural Sciences, Agriculture University of China and Nanjing Agricultural University are main research institutions in intelligent agriculture, however, there is less cooperation among them. Hot spots of intelligent agriculture researches are big data, internet of things, cloud computing and agriculture modernization. Research frontiers are wireless sensor networks, internet of things（IOT）, modern agriculture and internet plus. The research on intelligent agriculture in China is still at the exploratory stage, however, with the development of science and technology, its connotation and technology level are constantly enriched and improved.At present, the integration of digital technology and agriculture has been accelerated, the IOT has been widely used in agricultural production and circulation scenarios, sensors made in China can meet the data requirements in most scenarios, plant protection UAV and intelligent agricultural equipment are widely used in agricultural remote sensing surveying and mapping, pest control and agricultural monitoring. The key intelligent agriculture technologies such as agricultural information intelligence analysis and decision-making technology, cloud service technology, intelligent push of agricultural knowledge, navigation and automatic operation of agricultural machinery, identification of plant diseases and insect pests and animal diseases still need to be tackled. |
