Hyperspectral imaging and machine learning for rapid sensing and visualized retrieval of soil nutrients in high-latitude tea-growing regions.

Highly significant correlations (P< 0.001) were observed between the measured and predicted values for soil pH and the four physicochemical parameters (SOM, AN, AP, and AK), demonstrating the exceptional performance of the established models.

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(2024) observed that soil nutrient concentrations consistently exhibited a decreasing trend with increasing depth across different time periods.

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