Impact of calibration set size for predicting soil fertility attributes using local pXRF spectral libraries
Employing portable Energy-Dispersive X-Ray Fluorescence (pXRF) sensors and Machine Learning (ML) using calibration set sizes with reduced samples can save resources and time in measuring soil fertility attributes. The calibration of local models must have a sufficient number of samples to represent...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Soil Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950289624000319 |
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