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基于文献计量的土壤养分检测传感器研究进展OA

Research Progress on Soil Nutrient Detection Sensors Based on Bibliometrics

中文摘要英文摘要

为厘清土壤养分检测传感器领域的研究动态与发展规律、明确前沿方向并支撑下一代传感技术研发,以Web of Science核心数据库2015-2024年收录的598篇文献为数据源,采用CiteSpace文献计量法与可视化分析,系统开展国家、机构、期刊、关键词与研究热点分析.结果表明,该领域发展可划分为技术初步探索与积累期(2015-2016年)、稳步增长期(2017-2021年)、爆发增长期(2022-2024年)3个阶段.研究呈现显著的跨学科属性,学科交叉特征显著,以环境科学、分析化学为核心支撑.中国、美国在该领域研究中表现突出,美国农业部、中国科学院等为核心研究机构.研究热点聚焦于精准农业、电化学传感、硝酸盐检测与灌溉调度,前沿逐步向机器学习、特定养分检测、土壤性质与环境效应监测延伸.当前领域存在技术路径碎片化、近地与遥感数据协同不足、标准化评估体系缺失、田间落地应用滞后等瓶颈.未来应围绕多技术融合、多源数据协同、标准体系构建、田间场景落地4个方向突破,为农业可持续发展与生态保护提供技术支撑.

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.

郭家隆;胡峰;杨张青;张杰;臧贺藏;常宝方;李国强;辛银平

河南师范大学计算机与信息工程学院,河南 新乡 453007河南省农业科学院农业信息技术研究所,郑州 450002河南省农业科学院农业信息技术研究所,郑州 450002河南省农业科学院农业信息技术研究所,郑州 450002河南省农业科学院农业信息技术研究所,郑州 450002河南师范大学计算机与信息工程学院,河南 新乡 453007河南省农业科学院农业信息技术研究所,郑州 450002||农业农村部黄淮海智慧农业技术重点实验室,郑州 450002郑州大学环境技术咨询工程有限公司,郑州 450002

农业科技

土壤养分检测传感器文献计量Web of Science可视化分析精准农业机器学习智能检测

soil nutrient detection sensorbibliometricsWeb of Sciencevisual analysisprecision agriculturemachine learningintelligent detection

《中国农学通报》 2026 (10)

171-178,8

河南省重点研发与推广专项(科技攻关)"基于数字图像比色法和深度学习的土壤养分检测技术研究"(242102110373).

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