The potential of visible and near-infrared (VNIR) diffuse reflectance spectra to predict the chemical properties of Ferralsols and Arenosols cultivated with maize during four crop cycles were evaluated. The study was carried out in a greenhouse and aimed to (i) evaluate soil chemistry
variation induced by plants and the application of lime with different degrees of reactivity using conventional methods and proximal soil-sensing techniques, (ii) identify the wavelength ranges related to soil chemistry changes, and (iii) construct models that predict soil chemistry attributes
using soil VNIR spectra. Treatments used were three lime rates applied to raise the base saturation to 40%, 60% and 80% and one control. Partial least squares regression with cross-validation was used to establish relationships between the VNIR spectra and the reference data from chemical
analyses. The predicted results were evaluated based on the values of coefficient of determination (R2), the ratio of the standard deviation of the validation set to the root mean square error of cross-validation (RPD), and the root mean square of prediction. The predicted
results were excellent (R2 > 0.90 and RPD > 3) for potassium and for the lime requirement calculation. Good predictions (0.81 < R2 < 0.90 and 2.5 < RPD < 3) were also obtained
for pH and sum of bases. The resulting models for exchangeable calcium, cation exchangeable capacity, and base saturation had moderate predictive power (0.66 < R2 < 0.80 and 2.0 < RPD < 2.5). Our findings suggest that VNIR
reflectance spectroscopy could be used as a rapid, inexpensive, and non-destructive technique to predict some soil chemistry properties for these soil types. As this methodology evolves, it may eventually permit real-time analyses of soil variability and real-time management responses via
sensors installed on tractors.
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Document Type: Research Article
Affiliations:1: Escola Superior de Agricultura ‘Luiz de Queiroz’ – Soil Science Department, University of São Paulo, Piracicaba, São Paulo State, Brazil 2: Secretary of Agriculture of São Paulo State, Coordenadoria de Assistência Técnica Integral (CATI), Piracicaba, São Paulo State, Brazil