Next Article in Journal
Hierarchical Aggregation for Numerical Data under Local Differential Privacy
Previous Article in Journal
A Novel Screen-Printed Textile Interface for High-Density Electromyography Recording
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

1
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
2
Guangdong Provincial Key Laboratory of Conservation and Precision Utilization of Characteristic Agricultural Resources in Mountainous Areas, College of Computer Science, Jiaying University, Meizhou 514015, China
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(3), 1116; https://doi.org/10.3390/s23031116
Submission received: 11 November 2022 / Revised: 31 December 2022 / Accepted: 17 January 2023 / Published: 18 January 2023
(This article belongs to the Section Smart Agriculture)

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.
Keywords: dielectric properties; fertilizer sensor; characteristic frequency; frequency response features; type identification; concentration detection dielectric properties; fertilizer sensor; characteristic frequency; frequency response features; type identification; concentration detection

Share and Cite

MDPI and ACS Style

Li, J.; Gao, Y.; Zeng, J.; Li, X.; Wu, Z.; Wang, G. Online Rapid Detection Method of Fertilizer Solution Information Based on Characteristic Frequency Response Features. Sensors 2023, 23, 1116. https://doi.org/10.3390/s23031116

AMA Style

Li J, Gao Y, Zeng J, Li X, Wu Z, Wang G. Online Rapid Detection Method of Fertilizer Solution Information Based on Characteristic Frequency Response Features. Sensors. 2023; 23(3):1116. https://doi.org/10.3390/s23031116

Chicago/Turabian Style

Li, Jianian, Yuan Gao, Jingyuan Zeng, Xing Li, Zhuoyuan Wu, and Guoxuan Wang. 2023. "Online Rapid Detection Method of Fertilizer Solution Information Based on Characteristic Frequency Response Features" Sensors 23, no. 3: 1116. https://doi.org/10.3390/s23031116

APA Style

Li, J., Gao, Y., Zeng, J., Li, X., Wu, Z., & Wang, G. (2023). Online Rapid Detection Method of Fertilizer Solution Information Based on Characteristic Frequency Response Features. Sensors, 23(3), 1116. https://doi.org/10.3390/s23031116

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop