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Particle swarm optimization for designing ideotypes for sustainable production systems

Abstract : Agricultural systems have to adapt, in a changing climatic context, to face the growing social demand in terms of organoleptic, nutritional and environmental quality of food products. Thus, a crucial question for the future is how to manage fruit quality by finding the best combinations of genetic resources and cultural practices adapted to, and respectful of specific environments. This question was addressed using a particle swarm optimization and a process-based model. The obtained results show the interest of such as approach.
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Conference papers
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https://hal.inrae.fr/hal-02805277
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Submitted on : Saturday, June 6, 2020 - 12:18:52 AM
Last modification on : Tuesday, February 9, 2021 - 11:48:04 AM

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  • HAL Id : hal-02805277, version 1
  • PRODINRA : 44974

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Abdeslam Kadrani, Mohamed Mahmoud Ould Sidi, Bénédicte Quilot-Turion, Michel Génard, Francoise Lescourret. Particle swarm optimization for designing ideotypes for sustainable production systems. ICSI 2011: International conference on swarm intelligence, Jun 2011, Cergy, France. 3 p. ⟨hal-02805277⟩

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