Comparison of Classical and Inverse Calibration Equations in Chemical Analysis DOI Creative Commons
Hsuan‐Yu Chen, Chiachung Chen

Sensors, Journal Year: 2024, Volume and Issue: 24(21), P. 7038 - 7038

Published: Oct. 31, 2024

Chemical analysis adopts a calibration curve to establish the relationship between measuring technique's response and target analyte's standard concentration. The equation is established using regression verify of chemical instrument known properties materials that served as values. An adequate ensures performance these instruments. There are two kinds equations: classical equations inverse equations. For equation, values independent, instrument's dependent. opposite: independent value. new value, calculation measurement by must be transformed into complex form calculate However, could computed directly. Different forms besides linear used for equation. This study data sets from humidity sensors nine literature evaluate predictive Four criteria were proposed ability found an effective tool in analysis. precision essential ensure performance. embedded device, then intelligent instruments enhanced.

Language: Английский

Improving the Calibration of Low-Cost Sensors Using Data Assimilation DOI Creative Commons
Diego Alberto Aranda Britez, Alejandro Tapia Córdoba, Princy Johnson

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7846 - 7846

Published: Dec. 8, 2024

In the context of smart agriculture, accurate soil moisture monitoring is crucial to optimise irrigation, improve water usage efficiency and increase crop yields. Although low-cost capacitive sensors are used make affordable, these face accuracy challenges that often result in inefficient irrigation practices. This paper presents a method for calibrating through data assimilation. The was validated using collected from farm Dos Hermanas, Seville, Spain, which utilises drip system. proposed solution integrates Hydrus 1D model with particle filter (PF) Iterative Ensemble Smoother (IES) continuously update refine sensor calibration parameters. methodology includes implementation physical constraints, ensuring updated parameters remain within physically plausible ranges. Soil measured SoilWatch 10 ThetaProbe ML3 high-precision as reference. Furthermore, comparison carried out between PF IES methods. results demonstrate assimilation approach markedly enhances precision readings, aligning them closely reference measurements simulations. demonstrated superior performance, achieving an 84.8% improvement compared raw readings. substantial against sensors, confirming effectiveness sensors. contrast, showed 68% accuracy, which, while still considerable, outperformed by PF. By effectively mitigating observation noise biases, this proves robust practical large-scale implementations agriculture.

Language: Английский

Citations

0
Comparison of Classical and Inverse Calibration Equations in Chemical Analysis DOI Creative Commons
Hsuan‐Yu Chen, Chiachung Chen

Sensors, Journal Year: 2024, Volume and Issue: 24(21), P. 7038 - 7038

Published: Oct. 31, 2024

Chemical analysis adopts a calibration curve to establish the relationship between measuring technique's response and target analyte's standard concentration. The equation is established using regression verify of chemical instrument known properties materials that served as values. An adequate ensures performance these instruments. There are two kinds equations: classical equations inverse equations. For equation, values independent, instrument's dependent. opposite: independent value. new value, calculation measurement by must be transformed into complex form calculate However, could computed directly. Different forms besides linear used for equation. This study data sets from humidity sensors nine literature evaluate predictive Four criteria were proposed ability found an effective tool in analysis. precision essential ensure performance. embedded device, then intelligent instruments enhanced.

Language: Английский

Citations

0