Spectral data of tropical soils using dry-chemistry techniques (VNIR, XRF, and LIBS): a dataset for soil fertility prediction

Published: 23 September 2022 | Version 3 | DOI: 10.17632/88c5kvmgbf.3
Contributors :
Tiago Rodrigues Tavares ,
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Description

The dataset contains spectral data and characterizations of key soil fertility attributes of 102 soil samples. These samples are from two Brazilian agricultural areas, which have soils classified as Lixisol (Field 1) and Ferralsol (Field 2). Both type of soils are commonly found in Brazil’s tropical regions. The chosen fields have different soil matrices due to considerable textural and total elemental composition contrast. Regarding the fertility attributes, they present wide ranges of the variability of fertility attributes. After soil fertility tests, the samples were scanned with the following direct analysis techniques: (i) visible and near infrared diffuse reflectance spectroscopy (VNIR), (ii) X-ray fluorescence spectroscopy (XRF), and (iii) laser-induced breakdown spectroscopy (LIBS).

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