Pré-Publication, Document De Travail Année : 2021

Robust Strategic Planning of Phytosanitary Treatments in Agriculture

Résumé

This paper deals with robust planning and scheduling of activities in agriculture and in particular the application of phytosanitary treatments. The crops are subject to many diseases that may arise during different time windows of the planning horizon. In response, a phytosanitary treatment can be applied to protect against a subset of these diseases. However, the effective duration of some treatments is uncertain, it depends on the type of treatment applied as well as on the weather conditions. In this study we introduce a penalty function based approach to handle this uncertainty without being overly conservative akin to light robustness approach proposed in the literature. We discuss different forms for this penalty function and elaborate on solution methodologies for the resulting models. We test the effectiveness of our approach with realistically-sized instances, which correspond to a typical vineyard in Bordeaux area, and present a numerical analysis of different optimization models and solution methods.

Fichier principal
Vignette du fichier
Robust_Strategic_Planning_of____Phytosanitary_Treatments_in_Agriculture(1).pdf (406.49 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-03410635 , version 1 (01-11-2021)

Licence

Identifiants

  • HAL Id : hal-03410635 , version 1

Citer

Ayşe N Arslan, Boris Detienne. Robust Strategic Planning of Phytosanitary Treatments in Agriculture. 2021. ⟨hal-03410635⟩
327 Consultations
236 Téléchargements

Partager

  • More