Guan'gai paishui xuebao (Jan 2023)
Application of Internet of Things in Irrigation: A Review
Abstract
【Objective】 The internet of things (IoT) has been increasingly used to improve agricultural management over the past decades, and the purpose of this paper is to analyze its development and shift in application based on recent publications. 【Method】 We used topics and keywords to search relevant publications in CNKI and Web of Science (WOS) databases. Endnote X9 and VOSviewer were used to sort out publication data, the number of annual publications, affiliated institutions and research hotspots, from which we analyzed its development and shift. 【Result】 Application of IoT in irrigation has developed rapidly. Since 2011, CNKI and WOS have both seen a rapid growth in publications in this area. We found 300 papers in CNKI in 2020, and 280 papers in WOS in 2021. In terms of contributors, Hebei Agricultural University and Beijing Agricultural Intelligent Equipment Technology Research Center topped the list in China, while in terms of journals, Water-saving Irrigation and Agricultural Mechanization Research published the most in China. Before 2010, research in IOT in China focused on irrigation automation and since 2011 this has shifted to intelligent irrigation, integration of water and fertilizer, intelligent agricultural machinery, intelligent irrigation, and water saving. Internationally, Florida State University System and the University of Florida led other institutions, and Agricultural Water Management and Sensors are the journals that published more in this field. India, China, and America lead other countries in contributing papers, publishing 292, 220 and 184 respectively. Before 2010, the focus of IOT was agricultural production, water management and water resources regulation, and since 2011, this has shifted to agricultural production and its environmental footprints, regulation of water resources, application of irrigation technology, and intelligent irrigation. 【Conclusion】 The application of IOT technology in irrigation has shifted from automation intelligence. The future research will be to optimize software and hardware of intelligent irrigation systems, reduce costs of irrigation equipment, big data analysis and security, establish intelligent irrigation standard and training, set up efficient wireless transmission networks, and implement intelligent irrigation and fertilization.
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