Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture

Author:

Ines Amor V.M.,Honda Kiyoshi,Das Gupta Ashim,Droogers Peter,Clemente Roberto S.

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference46 articles.

1. Sustainable use of groundwater for irrigation: a numerical analysis of the subsoil water fluxes;Ahmad;Irrig. Drain.,2002

2. Bandaragoda, D.J., 1998. Design and practice of water allocation rules: lessons from warabandi in Pakistan's Punjab. Research Report 17. International Irrigation Management Institute, Colombo, Sri Lanka.

3. Inserting man's irrigation and drainage wisdom into soil water flow models and bringing it back out: how far have we progressed?;Bastiaanssen,2004

4. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation;Bastiaanssen;J. Hydrol.,1998

5. Berkoff, J., Huppert, W., 1987. Matching crop water requirements in large systems with a variable water supply: experiments in India. ODI-IIMI Irrigation Management Network Paper 87/3d. Overseas Development Institute, London.

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