Rapid Assessment of Soil Available Phosphorus and Exchangeable Potassium Content Using Portable Near-Infrared Sensors: A Non-Destructive Approach
Issued Date
2025-01-01
Resource Type
Scopus ID
2-s2.0-105014332071
Journal Title
22nd International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2025
Rights Holder(s)
SCOPUS
Bibliographic Citation
22nd International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2025 (2025)
Suggested Citation
Pansak W., Phromchaona N., O-Siriphun A., Tannamjai P. Rapid Assessment of Soil Available Phosphorus and Exchangeable Potassium Content Using Portable Near-Infrared Sensors: A Non-Destructive Approach. 22nd International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2025 (2025). doi:10.1109/ECTI-CON64996.2025.11101700 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/111994
Title
Rapid Assessment of Soil Available Phosphorus and Exchangeable Potassium Content Using Portable Near-Infrared Sensors: A Non-Destructive Approach
Author(s)
Corresponding Author(s)
Other Contributor(s)
Abstract
The I-DIN portable near-infrared sensor was developed by ScaNxt Scientific Technologies Pvt. Ltd. in collaboration with Global-Crops Co., Ltd. to assess soil nutrients, including organic carbon (OC), available nitrogen, available phosphorus, exchangeable potassium, and cation exchange capacity (CEC), directly in the field. This sensor provides a rapid, non-destructive method for soil sample analysis. This study aimed to evaluate the potential of the I-DIN portable near-infrared sensor in predicting available phosphorus and exchangeable potassium contents in soil. The results indicated that the sensor performed moderately well in estimating available phosphorus, with a coefficient of determination (R<sup>2</sup>) of 0.50, a root mean square error (RMSE) of 0.20, a ratio of performance to deviation (RPD) of 1.17, and a correlation coefficient (r) of 0.71. However, the sensor exhibited unreliable performance in predicting exchangeable potassium. Additional research is required to enhance the effectiveness of the I-DIN portable near-infrared sensor in evaluating soil Pavai and Kexch contents. Future studies could investigate factors such as adjusting the soil sample particle size (e.g., to 1 mm or 0.5 mm) and expanding the number of soil samples to improve test accuracy.