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Revista U.D.C.A Actualidad & Divulgación Científica
versão impressa ISSN 0123-4226
Resumo
CARRANZA-DIAZ, Andrea Katherín; CAMACHO-TAMAYO, Jesús Hernán e RUBIANO-SANABRIA, Yolanda. Validation of a model for the estimation of soil water content by infrared spectroscopy. rev.udcaactual.divulg.cient. [online]. 2023, vol.26, n.1, e2329. Epub 30-Jun-2023. ISSN 0123-4226. https://doi.org/10.31910/rudca.v26.n1.2023.2329.
Monitoring soil moisture content is especially important as it provides relevant information for making informed decisions regarding irrigation, fertigation, and water stress management. This study aims to validate a model for estimating soil water content using diffuse reflectance spectroscopy in the near-infrared range. The evaluated soils come from the municipalities of Puerto Gaitán (Meta), Espinal (Tolima), and Mosquera (Cundinamarca). In the first two municipalities, rigid networks were established to select sampling points, with two depths considered for each case (0-10 and 10-30 cm; 0-10 and 10-25 cm, respectively). For the third municipality, 77 soil pits were described, and samples were taken at depths of 0-10 and 10-35 cm. Subsequently, moisture content was evaluated at 0, 15, and 30 % moisture levels. The obtained data were analyzed using descriptive statistics. Cross-validation and external validation were applied to each model, and a general model was developed based on the data from all three sites. The obtained models for each sampling site and the general model demonstrated good predictive capacity. Based on the results, it is affirmed that near-infrared diffuse reflectance spectroscopy is an excellent option for determining soil water content. Similarly, principal component analysis identified differentiation between water contents of the studied soils.
Palavras-chave : Agricultural soil; Diffuse reflectance spectroscopy; Estimation Model; Near infrared; Precision agriculture.