"Aquacrop Model Calibration in Potato and Its Use to Estimate Yield Variability under Field Conditions"
written by Antonio de la Casa, Gustavo Ovando, Luciano Bressanini, Jorge Martínez,
published by Atmospheric and Climate Sciences, Vol.3 No.3, 2013
has been cited by the following article(s):
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[14] Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato
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[15] Assessment of FAO AquaCrop Model for Simulating Maize Growth and Productivity under Deficit Irrigation in a Tropical Environment
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[16] Drought assessment and forecasting using indice and artificial neural networks for the upper Tana River basin, Kenya
[17] Performance evaluation of AquaCrop model for irrigated field maize in south-eastern Albania
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