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Sensors 2017, 17(5), 1102; doi:10.3390/s17051102

Detection of Soil Nitrogen Using Near Infrared Sensors Based on Soil Pretreatment and Algorithms

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310058, China
Author to whom correspondence should be addressed.
Academic Editor: Monica Florescu
Received: 1 March 2017 / Revised: 1 May 2017 / Accepted: 4 May 2017 / Published: 11 May 2017
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Soil nitrogen content is one of the important growth nutrient parameters of crops. It is a prerequisite for scientific fertilization to accurately grasp soil nutrient information in precision agriculture. The information about nutrients such as nitrogen in the soil can be obtained quickly by using a near-infrared sensor. The data can be analyzed in the detection process, which is nondestructive and non-polluting. In order to investigate the effect of soil pretreatment on nitrogen content by near infrared sensor, 16 nitrogen concentrations were mixed with soil and the soil samples were divided into three groups with different pretreatment. The first group of soil samples with strict pretreatment were dried, ground, sieved and pressed. The second group of soil samples were dried and ground. The third group of soil samples were simply dried. Three linear different modeling methods are used to analyze the spectrum, including partial least squares (PLS), uninformative variable elimination (UVE), competitive adaptive reweighted algorithm (CARS). The model of nonlinear partial least squares which supports vector machine (LS-SVM) is also used to analyze the soil reflectance spectrum. The results show that the soil samples with strict pretreatment have the best accuracy in predicting nitrogen content by near-infrared sensor, and the pretreatment method is suitable for practical application. View Full-Text
Keywords: nitrogen; near-infrared sensor; soil pretreatment; PLS; UVE; CARS; LS-SVM nitrogen; near-infrared sensor; soil pretreatment; PLS; UVE; CARS; LS-SVM

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Nie, P.; Dong, T.; He, Y.; Qu, F. Detection of Soil Nitrogen Using Near Infrared Sensors Based on Soil Pretreatment and Algorithms. Sensors 2017, 17, 1102.

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