Modeling Soil Thermal Regimes During a Solarization Treatment in Closed Greenhouse by Means of Symbolic Regression via Genetic Programming
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-39299-4_32
Reference20 articles.
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3. 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.
4. Cenis, J. L. (1989). Temperature evaluation in solarized soils by Fourier analysis. Phytopathology, 79, 506–510.
5. D’Emilio, A., Mazzarella, R., Porto, S. M. C., & Cascone, G. (2012). Neural networks for predicting greenhouse thermal regimes during soil solarization. Transactions of the ASABE, 55(3), 1093–1103.
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