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Estimation of wet aggregation indices using soil properties and diffuse reflectance near infrared spectroscopy: An application of classification and regression tree analysis

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Soil aggregation is critical for assessing soil health; however, conventional aggregation measurement is laborious and expensive. The performance of near infrared diffuse reflectance spectroscopy (NIR) and basic soil properties for estimation of wet aggregation indices was investigated. Two samples sets representing different soils from across Lake Victoria Basin in Kenya were used for the study. A model calibration set (n = 136) was obtained following a conditioned Latin hypercube sampling, and validation set (n = 120) using a spatially stratified random sampling strategy. Spectral measurements were obtained for air-dried (

DOI:
https://doi.org/10.1016/j.biosystemseng.2016.08.003
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