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Combining mid infrared spectroscopy with stacked generalisation machine learning for prediction of key soil properties
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Fusion of Gamma-rays and portable X-ray fluorescence spectral data to measure extractable potassium in soils
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- Journal Article
- A1
- open access
Potential of on-the-go gamma-ray spectrometry for estimation and management of soil potassium site specifically
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- Journal Article
- A2
- open access
Modelling the influence of soil properties on crop yields using a non-linear NFIR model and laboratory data
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A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy
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- Journal Article
- A1
- open access
Machine learning based on-line prediction of soil organic carbon after removal of soil moisture effect
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- Journal Article
- A1
- open access
Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields
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The applicability of spectroscopy methods for estimating potentially toxic elements in soils : state-of-the-art and future trends
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Monitoring
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On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning