Evidence map›Paper›PMID 36772154›Full record

ArticleSensors (Basel, Switzerland)2023

Online Rapid Detection Method of Fertilizer Solution Information Based on Characteristic Frequency Response Features.

Jianian Li, Yuan Gao, Jingyuan Zeng, Xing Li, Zhuoyuan Wu, Guoxuan Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jianian LiFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Yuan GaoFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Jingyuan ZengGuangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, College of Computer Science, Jiaying University, Meizhou 514015, China.
Xing LiFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Zhuoyuan WuFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Guoxuan WangFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.

Funding

National Natural Science Foundation of China NO. 51509121National Natural Science Foundation of China NO. 52069008Science and Technology Planning Project of Guangdong Province NO.2020B121201013Scientific research and innovation team of Jiaying University 2021JYUTDY16Yunnan Fundamental Research Projects NO. 202101AT070113
6 · The paper itself

Abstract

Online rapid detection of a fertilizer solution's type and concentration is crucial for intelligent water and fertilizer machines to realize intellectual precision variable fertilization. In this paper, a cylindrical capacitance sensor was designed based on the dielectric properties of the fertilizer solution, and an online rapid detection method of fertilizer type and concentration was proposed based on the characteristic frequency response mode. Three fertilizer solutions, potassium chloride, calcium superphosphate, and urea, were used as test objects. Ten concentrations of each fertilizer solution in the 10~100 g/L range were taken as the test fertilizer solution. Then, under the action of a series of sine wave excitation signals from 1 kHz to 10 MHz, the sensor's amplitude-frequency/phase-frequency response data were obtained. The detection strategy of 'first type, then concentration' was adopted to realize rapid online detection of fertilizer type and concentration. Experimental results indicated that the maximum relative error of the sensor stability test was 0.72%, and the maximum error of concentration detection was 7.26%. Thus, the intelligent water and fertilizer machine can give feedback on the information of a fertilizer solution in real-time during the process of precise variable fertilization, thus improving the intelligence of water and fertilizer machines.

Indexed as

characteristic frequencyconcentration detectiondielectric propertiesfertilizer sensorfrequency response featurestype identification

Identifiers

PMID36772154
PMCPMC9919439

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