Modeling Soil Thermal Regimes During a Solarization Treatment in Closed Greenhouse by Means of Symbolic Regression via Genetic Programming
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Modeling soil thermal regimes during a solarization treatment in closed greenhouse is useful to estimate the required duration of the treatment in relation to the climatic conditions, as well as the efficacy of the technique. Several studies have been carried out, based on two main strategies: modeling the physical processes of the soil-mulch-greenhouse system or applying numerical procedures based on neural networks (NNs). However, the application and reliability of physical models require accurate knowledge of the thermo-physical properties of each component of the system, while NNs do not give any symbolic function which can be easily used. Symbolic regression via genetic programming represents an alternative method for finding a function that best fit a given set of data. In this paper, a such model is proposed, which use air temperature and global solar radiation flux outside the greenhouse, depth into the soil, existence of mulch and time of day as input variables and provides soil temperatures at different depths as output. The results allowed to obtain an easy to use symbolic function that is able to estimate soil temperature with an accuracy comparable to that one attained with other simulation models.
KeywordsSoil solarization Symbolic regression Greenhouse Soil temperature
The activity presented in the paper is part of the research grant “University Research – Research Plan 2016/2018” by University of Catania.
- Augusto, D. A., & Barbosa, H. J. (2000). Symbolic regression via genetic programming. In Sixth Brazilian Symposium on Neural Networks (Vol. 1, pp. 173–178). IEEE.Google Scholar
- Castello, I., D’Emilio, A., Raviv, M., & Vitale, A. (2017). Soil Solarization as a sustainable solution to control tomato pseudomonads infections in greenhouses. Agronomy for Sustainable Development, 37(6), 59.Google Scholar
- D’Emilio, A. (2014). Predictive model of soil temperature and moisture during solarization in closed greenhouse. Transactions of the ASABE, 57(6), 1817–1830.Google Scholar
- Öz, H., Coskan, A., & Atilgan, A. (2017). Determination of effects of various plastic covers and biofumigation on soil temperature and soil nitrogen form in greenhouse solarization: New solarization cover material. Journal of Polymers and the Environment, 25(2), 370–377.Google Scholar
- Van Wijk, W., & De Vries, D. (1963). Periodic temperature variations in a homogeneous soil. In W. R. Van Wijk (Ed.), Physics of plant environment (pp. 102–143). Amsterdam: North-Holland Publishing.Google Scholar