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Chinese Agricultural Science Bulletin ›› 2026, Vol. 42 ›› Issue (10): 171-178.doi: 10.11924/j.issn.1000-6850.casb2025-0778

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Research Progress on Soil Nutrient Detection Sensors Based on Bibliometrics

GUO Jialong1(), HU Feng2, YANG Zhangqing2, ZHANG Jie2, ZANG Hezang2, CHANG Baofang1, LI Guoqiang2,3(), XIN Yinping4   

  1. 1 School of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan 453007
    2 Institute of Agricultural Information Technology, Henan Academy of Agricultural Sciences, Zhengzhou 450002
    3 Key Laboratory of Huang-Huai-Hai Intelligent Agricultural Technology, Ministry of Agriculture and Rural Affairs, Zhengzhou 450002
    4 Zhengzhou University Environmental Technology Consulting Engineering Co., Ltd., Zhengzhou 450002
  • Received:2025-09-09 Revised:2026-04-11 Online:2026-05-25 Published:2026-05-27

Abstract:

This study aims to systematically sort out the research dynamics and development laws in the global field of soil nutrient detection sensors, providing data support for the research and development of next-generation sensor technologies. It took 598 relevant literature included in the Web of Science Core Collection from 2015 to 2024 as the research object, and adopted CiteSpace bibliometric software to conduct visual analysis. The results showed that the research trend in this field could be divided into three stages: the initial exploration and accumulation period of technology (2015-2016), the steady growth period (2017-2021), and the explosive growth period (2022-2024). The research exhibited a remarkable interdisciplinary nature, with environmental science and analytical chemistry as the main supporting disciplines. China and the United States performed prominently in research in this field, and scientific research institutions continuously promoted technological development. The research hotspots focused on precision agriculture, core sensing technology, and key nutrient index detection, while the research frontiers gradually extended to the application of intelligent algorithms, specific nutrient detection, and the monitoring of soil properties and environmental effects. Although technological innovation continues to advance, this field still faced key bottlenecks such as fragmentation of technical paths, insufficient coordination between near-ground and remote sensing data, and lack of a standardized evaluation system, and most research results had not yet been applied in the field. Future research needs to make breakthroughs in four directions: technology integration, data collaboration, standard establishment, and scenario implementation, so as to provide technical support for agricultural sustainable development and ecological protection.

Key words: soil nutrient detection sensor, bibliometrics, Web of Science, visual analysis, precision agriculture, machine learning, intelligent detection

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