Abstract
A genetic algorithm is defined to learn the irrigation cycle for the simulated water flow in cropped soils. It is shown that the genetic learning provides an appropriate method to defining irrigation on and irrigation off switching to maintain a desired moisture content at a predetermined depth in the soil.
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References
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© 1997 Springer-Verlag Berlin Heidelberg
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Stonier, R., Sturgess, D. (1997). Genetic learning of the irrigation cycle for water flow in cropped soils. In: Yao, X., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1996. Lecture Notes in Computer Science, vol 1285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028525
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DOI: https://doi.org/10.1007/BFb0028525
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63399-0
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