Stochastic Dynamic Programming-Based Approach for Optimal Irrigation Scheduling under Restricted Water Availability Conditions

Author:

Anvari S.1,Mousavi S.J.2,Morid S.3

Affiliation:

1. Department of Ecology, Institute of Science and High Technology and Environmental Science; Graduate University of Advanced Technology; Kerman Iran

2. School of Civil and Environmental Engineering; Amirkabir University of Technology (Polytechnic of Tehran); Tehran Iran

3. Department of Water Resources, Faculty of Agriculture; Tarbiat Modares University; Tehran Iran

Publisher

Wiley

Subject

Soil Science,Agronomy and Crop Science

Reference19 articles.

1. Allen RG Pereira LS Raes D Smith M 1998 Crop evapotranspiration guidelines for computing crop water requirements

2. Sampling/stochastic dynamic programming for optimal operation of multi-purpose reservoirs using artificial neural network-based ensemble streamflow predictions;Anvari;Journal of Hydroinformatics,2014

3. Depth development of roots with time: an empirical description;Borg;Transactions of the ASAE,1986

4. Doorenbos J Kassam AH 1977 Yield response to water. FAO Irrigation and Drainage Paper No. 33. FAO: Rome

5. Doorenbos J Pruitt WO 1984 Guidelines for predicting crop water requirements .

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