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Communication Dans Un Congrès Année : 2017

RUC-APS: Enhancing and implementing knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems

Shaofeng Liu
  • Fonction : Auteur
Caroline Drummond
  • Fonction : Auteur
  • PersonId : 848668

Résumé

Current global requirements are stressing agricultural systems to achieve enough resilience capabilities once abrupt changes in resource quality, quantity and availability occurs, especially during uncertain weather, pests and diseases, vola-tile market conditions and commodity prices conditions. Thus, managing risks and the uncertainties in information will lead farmers and value chain stakehold-ers to better react to these unexpected conditions. Hence, from the genetic design of the seed, through the planting and harvest processes, RUC-APS will enhance the knowledge from the full agricultural life-cycle based-decision making process to realise the key impacts at every stage farming decisions once facing high risk and uncertainty. Thus, RUC-APS will provide an integrated standard and custom-ised solutions to enhance collaborative agriculture value chains structures.
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Dates et versions

hal-02001076 , version 1 (31-01-2019)

Identifiants

  • HAL Id : hal-02001076 , version 1

Citer

Jorge Hernandez, Martin Mortimer, Edoardo Patelli, Shaofeng Liu, Caroline Drummond, et al.. RUC-APS: Enhancing and implementing knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems. 11th International Conference on Industrial Engineering and Industrial Management (CIO 2017), Universitat Politècnica de València (UPV); Asociación para el Desarrollo de la Ingeniería de Organización (ADINGOR); Centro de Investigación en Gestión e Ingeniería de Producción (CIGIP); Reengineering Operations GroupWork Logistics Excellence (ROGLE), Jul 2017, Valencia, Spain. pp.39-41. ⟨hal-02001076⟩
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