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Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision

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Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision

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Berbel, J.; Gutiérrez-Martín, C. (2015). Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 15(2):51-68. https://doi.org/10.7201/earn.2015.02.03

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/90582

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Title: Farmer’s subjective elicited water response function for intensive olives and compromise programming method for irrigation supply decision
Secondary Title: Función subjetiva de respuesta al agua del agricultor en olivar intenso y la programación compromiso para decisiones
Author: Berbel, Julio Gutiérrez-Martín, Carlos
Issued date:
Abstract:
[EN] This research analyses the subjective crop yield-water relationship and proposes a method to determine water supply in irrigated olives. The probability density for water response functions (PDF) is elicited from a ...[+]


[ES] La investigación analiza la función subjetiva de producción de agua (respuesta producción-riego). Se han obtenido funciones de densidad de probabilidad de respuesta al riego basadas en la función triangular (rendimiento ...[+]
Subjects: Compromise programming , Deficit , Irrigation , Decision marker judgment , Probability density function , Water production function , Función de densidad de probabilidad , Función de producción del agua , Programación compromiso , Riego deficitario , Toma de decisiones
Copyrigths: Reserva de todos los derechos
Source:
Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. (issn: 1578-0732 ) (eissn: 2174-7350 )
DOI: 10.7201/earn.2015.02.03
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.7201/earn.2015.02.03
Thanks:
This research has been financed by Secretaría General de Ciencia, Tecnología e Innovación (MINECO). We thank our colleagues L. Mateos and F. Orgaz who provided insight and expertise that greatly assisted the research, and ...[+]
Type: Artículo

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