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A scenario-based approach for quality risk management: case of annual crops scheduling

Abstract : This paper presents a stochastic optimization model that establishes the harvest scheduling of the entire farmers crop at optimum maturity. Gathering the harvest represents an important stage for the agricultural cooperatives and individual farmers production that involves the risk control of crop quality and safety degradation. In this sense, meteorological conditions represent the determinative factor that affects the harvest scheduling during which crops are gathered. Hereby, using chance constraints programming, we propose a mixed integer stochastic model with a view to minimizing the risk of crop quality degradation under the climate uncertainty with a safe confidence level.
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https://hal-utt.archives-ouvertes.fr/hal-02641197
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, May 28, 2020 - 4:10:01 PM
Last modification on : Friday, May 29, 2020 - 3:30:48 AM

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  • HAL Id : hal-02641197, version 1

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Valeria Borodin, Jean Bourtembourg, Faicel Hnaien, Nacima Labadie. A scenario-based approach for quality risk management: case of annual crops scheduling. International Conference on Metaheuristics and Nature Inspired Computing, META 2012, Oct 2012, Sousse, Tunisia. ⟨hal-02641197⟩

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