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Prediction of applied irrigation depths at farm level using artificial intelligence techniques

R. Gonzalez Perea ; E. Camacho Poyato ; P. Montesinos ; J.A. Rodriguez Diaz |

Dans Agricultural Water Management (vol. 206, 30 July 22018)

Irrigation water demand is highly variable and depends on farmer behaviour, which affects the performance of irrigation networks. The irrigation depth applied to each farm also depends on farmer behaviour and is affected by precise and imprecise[...]

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