李雁华,张淼,潘林沛,郑杰.基于ISE的湿土硝态氮检测方法研究[J].农业机械学报,2016,47(s1):285-290.
Li Yanhua,Zhang Miao,Pan Linpei,Zheng Jie.ISE-based Sensor Fusion Method for Wet Soil Nitrate-nitrogen Detection[J].Transactions of the Chinese Society for Agricultural Machinery,2016,47(s1):285-290.
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基于ISE的湿土硝态氮检测方法研究   [下载全文]
ISE-based Sensor Fusion Method for Wet Soil Nitrate-nitrogen Detection   [Download Pdf][in English]
投稿时间:2016-07-20  
DOI:10.6041/j.issn.1000-1298.2016.S0.044
中文关键词:  离子选择电极  硝态氮  传感器融合  湿土直测
基金项目:国家自然科学基金项目(61134011)
作者单位
李雁华 中国农业大学 
张淼 中国农业大学 
潘林沛 中国农业大学 
郑杰 中国农业大学 
中文摘要:分析了含水率对离子选择电极(ISE)湿土硝态氮直测的影响,建立了一种融合土壤含水率的ISE湿土直测方〖JP2〗法。结果表明:未修正含水率影响的ISE湿土直测结果与光学检测方法结果间的绝对偏差范围为3.79~44.81mg/L,〖JP〗均方根误差大于17.00mg/L,无法满足应用需求;湿土质量含水率、浸提液添加量及干土折算量间存在线性函数关系,融合湿土质量含水率的ISE湿土硝态氮直测结果与光学检测方法结果之间具有较好的一致性,与光学检测结果回归方程的调整决定系数为0.97,绝对偏差范围为0.17~17.95mg/L,均方根误差小于7.05mg/L,检测精度和稳定性与实验室ISE干土测定性能相近,比未修正含水率影响前有明显提高。
Li Yanhua  Zhang Miao  Pan Linpei  Zheng Jie
China Agricultural University,China Agricultural University,China Agricultural University and China Agricultural University
Key Words:Ion-selective electrode  nitrate-nitrogen  sensor fusion  wet soil detection
Abstract:The nitrate nitrogen (NO-3 N) of wet soil samples was detected through sensor fusion method. The prediction model of NO-3 N was established by ion selective electrode (ISE) and soil moisture sensor. The interference of water content on fast detection of wet soil was analyzed. The statistical linear transformation between soil mass water content and volumetric water content was determined through calibration experiments. The algebra relationship among soil water content, volume of soil extractant and mass of dry material was derived. Compared with the standard spectrometric detection, the poor prediction accuracy of root mean square error (RMSE) of more than 17.00mg/L was obtained in bare ISE based NO-3 N detections. Meanwhile, the average absolute error (AE) was 3.79~44.81mg/L, which indicated a non negligible predicted deviation from real soil NO-3 N condition. Through the sensor fusion approach, the NO-3 N prediction results indicated significantly good consistency with standard spectrometric detection results. The adjusted determination coefficient (R2) of regression equation was 0.97, RMSE was less than 7.05mg/L, and AE was 0.17~17.95mg/L. The sensor fusion method obviously improved the detection accuracy of nitrate nitrogen detection compared with the bare ISE detection. Meanwhile, it demonstrated the advantage of higher efficiency than that of conventional laboratory soil detections which required soil pretreatment. The method and experimental results could provide references for ISE applications to on line soil macronutrient fast detections.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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