Literature DB >> 31661786

An ISE-based On-Site Soil Nitrate Nitrogen Detection System.

Yanhua Li1, Qingliang Yang2, Ming Chen3, Maohua Wang4,5, Miao Zhang6,7.   

Abstract

Soil nitrate-nitrogen (NO3--N) is one of the primary factors used to control nitrogen topdressing application during the crop growth period. The ion-selective electrode (ISE) is a promising method for rapid lower-cost in-field detection. Due to the simplification of sample preparation, the accuracy and stability of ISE-based in-field detection is doubted. In this paper, a self-designed prototype system for on-site soil NO3--N detection was developed. The procedure of spinning centrifugation was used to avoid interference from soil slurry suspension. A modified Nernstian prediction model was quantitatively characterized with outputs from both the ISE and the soil moisture sensor. The measurement accuracy of the sensor fusion model was comparable with the laboratory ISE detections with standard sample pretreatment. Compared with the standard spectrometric method, the average absolute error (AE) and root-mean-square error (RMSE) were found to be less than 4.7 and 6.1 mg/L, respectively. The on-site soil testing efficiency was 4-5 min/sample, which reduced the operation time by 60% compared with manual sample preparation. The on-site soil NO3--N status was dynamically monitored for 42 consecutive days. The declining peak of NO3--N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients.

Entities:  

Keywords:  ion-selective electrode (ISE); on-site detection; sensor fusion; soil moisture; soil nitrate nitrogen (NO3−-N)

Year:  2019        PMID: 31661786     DOI: 10.3390/s19214669

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  An All-Solid-State Nitrate Ion-Selective Electrode with Nanohybrids Composite Films for In-Situ Soil Nutrient Monitoring.

Authors:  Ming Chen; Miao Zhang; Xuming Wang; Qingliang Yang; Maohua Wang; Gang Liu; Lan Yao
Journal:  Sensors (Basel)       Date:  2020-04-16       Impact factor: 3.576

  1 in total

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