Proximal Absorbance Calibration Method Using an Embedded Blank Reference RGB Sensor for Determination of Ion Concentrations

Jung-Kyu Lee, Ye-Hun Lee and Dong-Hoon Lee ()
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Jung-Kyu Lee: Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea
Ye-Hun Lee: Department of Environmental and Biological Chemistry, Chungbuk National University, Cheongju 28644, Republic of Korea
Dong-Hoon Lee: Department of Biosystems Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea

Agriculture, 2024, vol. 14, issue 12, 1-16

Abstract: Accurate analyses and management of ion concentrations are crucial in precision agriculture. Modern technology-based methods are non-destructive and do not require sample preparation, enabling fast and accurate analysis; however, they have limitations when processing multiple samples. In this study, a multi-ion analysis system was developed for the prompt and accurate analysis of concentrations of important ions such as NO 3 − , H n PO 4 − , K + , Ca 2+ , and Mg 2+ . The RGB sensitivity control was automated through calibrations by applying a reference slot-based error rate across six slots between sample measurements, facilitating sample-to-sample comparisons and enabling accurate concentration analysis. By analyzing the correlation between each ion concentration and the proximal absorbance-based concentration prediction in the simultaneous analysis system, the accuracy was verified by achieving a coefficient of determination exceeding 0.99 for most ions. This system minimizes possible deviations between slots by using an automatic calibration algorithm, thereby facilitating the simultaneous analysis of multiple samples. This is important for saving time and cost and can help in real-time nutrient analysis and monitoring in agriculture.

Keywords: multi-ion analysis; automatic calibration algorithm; RGB-based analysis; precision agriculture; proximal absorbance analysis (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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