Evaluating pXRF accuracy for predicting soil fertility: effects of moisture and soil properties
Joao Antonangelo, Somsubhra Chakraborty, Deepanjan Mridha, Shikha Singh, Surendra Singh · 2026
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Description
Joao Antonangelo and four colleagues test in 2026 how soil moisture affects a handheld X-ray tool used to predict soil fertility. Portable X-ray fluorescence gives farmers fast nutrient readings, yet water in the sample can distort element signals. How moisture interacts with other soil traits was less clear.
Regression models were built under four moisture states, from dry soil to saturated paste. Potassium, calcium, and magnesium predictions were strong in dry and saturated samples, while copper and zinc fared worse. Adding soil pH and organic matter lifted accuracy sharply, improving fit up to about sixfold in some cases. Antonangelo and co-authors call for standard sample preparation so readings stay comparable.
Catalog record
| CREATOR | Joao Antonangelo, Somsubhra Chakraborty, Deepanjan Mridha, Shikha Singh, Surendra Singh |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65338 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |