An ISE-based On-Site Soil Nitrate Nitrogen Detection System
Soil nitrate−nitrogen (NO<sub>3</sub><sup>−</sup>-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 detecti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/21/4669 |
| _version_ | 1798005740286246912 |
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| author | Yanhua Li Qingliang Yang Ming Chen Maohua Wang Miao Zhang |
| author_facet | Yanhua Li Qingliang Yang Ming Chen Maohua Wang Miao Zhang |
| author_sort | Yanhua Li |
| collection | DOAJ |
| description | Soil nitrate−nitrogen (NO<sub>3</sub><sup>−</sup>-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 NO<sub>3</sub><sup>−</sup>-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 NO<sub>3</sub><sup>−</sup>-N status was dynamically monitored for 42 consecutive days. The declining peak of NO<sub>3</sub><sup>−</sup>-N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients. |
| first_indexed | 2024-04-11T12:43:53Z |
| format | Article |
| id | doaj.art-12ee54077e974b639956fc57c8cb3783 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:43:53Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-12ee54077e974b639956fc57c8cb37832022-12-22T04:23:25ZengMDPI AGSensors1424-82202019-10-011921466910.3390/s19214669s19214669An ISE-based On-Site Soil Nitrate Nitrogen Detection SystemYanhua Li0Qingliang Yang1Ming Chen2Maohua Wang3Miao Zhang4Key Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, ChinaKey Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, ChinaKey Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, ChinaKey Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, ChinaKey Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, ChinaSoil nitrate−nitrogen (NO<sub>3</sub><sup>−</sup>-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 NO<sub>3</sub><sup>−</sup>-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 NO<sub>3</sub><sup>−</sup>-N status was dynamically monitored for 42 consecutive days. The declining peak of NO<sub>3</sub><sup>−</sup>-N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients.https://www.mdpi.com/1424-8220/19/21/4669on-site detectionion-selective electrode (ise)soil nitrate nitrogen (no<sub>3</sub><sup>−</sup>-n)soil moisturesensor fusion |
| spellingShingle | Yanhua Li Qingliang Yang Ming Chen Maohua Wang Miao Zhang An ISE-based On-Site Soil Nitrate Nitrogen Detection System Sensors on-site detection ion-selective electrode (ise) soil nitrate nitrogen (no<sub>3</sub><sup>−</sup>-n) soil moisture sensor fusion |
| title | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
| title_full | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
| title_fullStr | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
| title_full_unstemmed | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
| title_short | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
| title_sort | ise based on site soil nitrate nitrogen detection system |
| topic | on-site detection ion-selective electrode (ise) soil nitrate nitrogen (no<sub>3</sub><sup>−</sup>-n) soil moisture sensor fusion |
| url | https://www.mdpi.com/1424-8220/19/21/4669 |
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