| Revista: | Scientia Agricola |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000455453 |
| ISSN: | 0103-9016 |
| Autores: | Silva, Bárbara Pereira Christofaro1 Tassinari, Diego2 Silva, Marx Leandro Naves2 Silva, Bruno Montoani2 Curi, Nilton2 Rocha, Humberto Ribeiro da3 |
| Instituciones: | 1Instituto Federal de Educacao, Ciencia e Tecnologia do Para, Belem, Para. Brasil 2Universidade Federal de Lavras, Departamento de Ciencia do Solo, Lavras, Minas Gerais. Brasil 3Universidade de Sao Paulo, Departamento de Ciencias Atmosfericas, Sao Paulo. Brasil |
| Año: | 2022 |
| Volumen: | 79 |
| Número: | 4 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, analítico |
| Resumen en inglés | Electromagnetic sensors are widely used to monitor soil water content (θ); however, site-specific calibrations are necessary for accurate measurements. This study compares regression models used for calibration of soil moisture sensors and investigates the relation between soil attributes and the adjusted parameters of the specific calibration equations. Undisturbed soil samples were collected in the A and B horizons of two Ultisols and two Inceptisols from the Mantiqueira Range in Southeastern Brazil. After saturation, the Theta Probe ML2X was used to obtain the soil dielectric constant (ε). Several readings were made, ranging from saturation to oven-dry. After each reading, the samples were weighted to calculate θ (m3 m–3). Fourteen regression models (linear, linearized, and nonlinear) were adjusted to the calibration data and checked for their residue distribution. Only the exponential model with three parameters met the regression assumptions regarding residue distribution. The stepwise regression was used to obtain multiple linear equations to estimate the adjusted parameters of the calibration model from soil attributes, with silt and clay contents providing the best relations. Both the specific and the general calibrations performed well, with RMSE values of 0.02 and 0.03 m3 m–3, respectively. Manufacturer calibration and equations from the literature were much less accurate, reinforcing the need to develop specific calibrations |
| Disciplinas: | Agrociencias |
| Palabras clave: | Suelos, Constante dieléctrica, Humedad del suelo, Modelos no lineales, Calibración |
| Keyword: | Soils, Dielectric constant, Soil moisture, Nonlinear models, Calibration |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
