Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor

Nitrogen is one of the important indexes to evaluate the physiological and biochemical properties of soil. The level of soil nitrogen content influences the nutrient levels of crops directly. The near infrared sensor can be used to detect the soil nitrogen content rapidly, nondestructively, and conv...

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Main Authors: Yong He, Shupei Xiao, Pengcheng Nie, Tao Dong, Fangfang Qu, Lei Lin
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
PLS
UVE
Online Access:https://www.mdpi.com/1424-8220/17/9/2045
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spelling doaj-1c109b5b8341494db42cde11d317d0d12020-11-24T21:45:46ZengMDPI AGSensors1424-82202017-09-01179204510.3390/s17092045s17092045Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared SensorYong He0Shupei Xiao1Pengcheng Nie2Tao Dong3Fangfang Qu4Lei Lin5College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaNitrogen is one of the important indexes to evaluate the physiological and biochemical properties of soil. The level of soil nitrogen content influences the nutrient levels of crops directly. The near infrared sensor can be used to detect the soil nitrogen content rapidly, nondestructively, and conveniently. In order to investigate the effect of the different soil water content on soil nitrogen detection by near infrared sensor, the soil samples were dealt with different drying times and the corresponding water content was measured. The drying time was set from 1 h to 8 h, and every 1 h 90 samples (each nitrogen concentration of 10 samples) were detected. The spectral information of samples was obtained by near infrared sensor, meanwhile, the soil water content was calculated every 1 h. The prediction model of soil nitrogen content was established by two linear modeling methods, including partial least squares (PLS) and uninformative variable elimination (UVE). The experiment shows that the soil has the highest detection accuracy when the drying time is 3 h and the corresponding soil water content is 1.03%. The correlation coefficients of the calibration set are 0.9721 and 0.9656, and the correlation coefficients of the prediction set are 0.9712 and 0.9682, respectively. The prediction accuracy of both models is high, while the prediction effect of PLS model is better and more stable. The results indicate that the soil water content at 1.03% has the minimum influence on the detection of soil nitrogen content using a near infrared sensor while the detection accuracy is the highest and the time cost is the lowest, which is of great significance to develop a portable apparatus detecting nitrogen in the field accurately and rapidly.https://www.mdpi.com/1424-8220/17/9/2045nitrogennear infrared sensorwater contentdrying timePLSUVE
collection DOAJ
language English
format Article
sources DOAJ
author Yong He
Shupei Xiao
Pengcheng Nie
Tao Dong
Fangfang Qu
Lei Lin
spellingShingle Yong He
Shupei Xiao
Pengcheng Nie
Tao Dong
Fangfang Qu
Lei Lin
Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
Sensors
nitrogen
near infrared sensor
water content
drying time
PLS
UVE
author_facet Yong He
Shupei Xiao
Pengcheng Nie
Tao Dong
Fangfang Qu
Lei Lin
author_sort Yong He
title Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
title_short Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
title_full Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
title_fullStr Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
title_full_unstemmed Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor
title_sort research on the optimum water content of detecting soil nitrogen using near infrared sensor
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2017-09-01
description Nitrogen is one of the important indexes to evaluate the physiological and biochemical properties of soil. The level of soil nitrogen content influences the nutrient levels of crops directly. The near infrared sensor can be used to detect the soil nitrogen content rapidly, nondestructively, and conveniently. In order to investigate the effect of the different soil water content on soil nitrogen detection by near infrared sensor, the soil samples were dealt with different drying times and the corresponding water content was measured. The drying time was set from 1 h to 8 h, and every 1 h 90 samples (each nitrogen concentration of 10 samples) were detected. The spectral information of samples was obtained by near infrared sensor, meanwhile, the soil water content was calculated every 1 h. The prediction model of soil nitrogen content was established by two linear modeling methods, including partial least squares (PLS) and uninformative variable elimination (UVE). The experiment shows that the soil has the highest detection accuracy when the drying time is 3 h and the corresponding soil water content is 1.03%. The correlation coefficients of the calibration set are 0.9721 and 0.9656, and the correlation coefficients of the prediction set are 0.9712 and 0.9682, respectively. The prediction accuracy of both models is high, while the prediction effect of PLS model is better and more stable. The results indicate that the soil water content at 1.03% has the minimum influence on the detection of soil nitrogen content using a near infrared sensor while the detection accuracy is the highest and the time cost is the lowest, which is of great significance to develop a portable apparatus detecting nitrogen in the field accurately and rapidly.
topic nitrogen
near infrared sensor
water content
drying time
PLS
UVE
url https://www.mdpi.com/1424-8220/17/9/2045
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