Physical soil moisture diffusion modeling through sensors and numerical simulation.
DOI:
https://doi.org/10.17979/ja-cea.2026.47.13671Keywords:
System identification, Physical modeling, Precision agriculture, Soil moisture sensors, Numerical simulationAbstract
This work presents a methodology for the identification of soil hydraulic parameters based on the comparison between numerical simulations of the Richards equation and experimental soil moisture measurements obtained using sensors installed at depths of 10 cm, 20 cm, 40 cm, and 60 cm. Soil hydraulic behavior is modeled using the Van Genuchten model, whose parameters are commonly estimated from soil textural compositions through the Rosetta database. To improve model accuracy, a one-dimensional numerical model with spatial and temporal discretization is implemented to simulate the evolution of soil moisture along the soil profile. The proposed methodology evaluates a multimodel set corresponding to different combinations of sand, silt, and clay contents, selecting the model that minimizes the RMSE error with respect to the experimental measurements. Results obtained using real data from a citrus crop field demonstrate the capability of the proposed method to identify hydraulic parameters able to adequately reproduce the observed soil moisture dynamics.
References
Cai, B., Shi, F., Geremew, B. A., Addis, A. K., Abate, M. C., Dessie, W., Bayu, T., 2025. Precision agricultura techniques for optimizing chemical fertilizer use and environmental sustainability: a systematic review. Frontiers in Agronomy Volume 7 - 2025. DOI: https://doi.org/10.3389/fagro.2025.1665444
Jayasuriya, V., Philip, P. S., Jyolsna, T., 2026. The hydrus model for soil and water management: A brief review of capabilities, trends, and future directions. Environmental Modelling Software 197, 106801. DOI: https://doi.org/10.1016/j.envsoft.2025.106801
Morchid, A., Et-taibi, B., Oughannou, Z., Alami, R. E., Qjidaa, H., Jamil, M. O., Boufounas, E.-M., Abid, M. R., 2025. Iot-enabled smart agricultura for improving water management: A smart irrigation control using embedded systems and server-sent events. Scientific African 27, e02527. DOI: https://doi.org/10.1016/j.sciaf.2024.e02527
Schaap, M. G., Leij, F. J., 2000. Improved prediction of unsaturated hydraulic conductivity with the mualem-van genuchten model. Soil Science Society of America Journal 64 (3), 843–851. DOI: https://doi.org/10.2136/sssaj2000.643843x
Schaap, M. G., Leij, F. J., van Genuchten, M. T., 2001. rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. Journal of Hydrology 251 (3), 163–176. DOI: https://doi.org/10.1016/S0022-1694(01)00466-8
van Genuchten, M. T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44 (5), 892–898. DOI: https://doi.org/10.2136/sssaj1980.03615995004400050002x
Vereecken, H., Huisman, J. A., Bogena, H., Vanderborght, J., Vrugt, J. A., Hopmans, J. W., 2008. On the value of soil moisture measurements in vadose zone hydrology: A review. Water Resources Research 44 (4). DOI: https://doi.org/10.1029/2008WR006829
Zha, X., Zhu, W., Han, Y., Lv, A., 2025. Enhancing root-zone soil moisture estimation using richards’ equation and dynamic surface soil moisture data. Agricultural Water Management 312, 109460. DOI: https://doi.org/10.1016/j.agwat.2025.109460
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Felipe Usó, Pedro Balaguer

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.