A Constraint-Based Approach to the Differential Harvest Problem

Nicolas Briot 1 Christian Bessière 1 Philippe Vismara 1
1 COCONUT - Agents, Apprentissage, Contraintes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : One of the most important applications of precision agriculture to viticulture is the management of the quality of grapes at the field level through selective harvest. The recent developments of prototypes of conventional grape harvesting machines are able to sort two types of harvest quality. In this paper, we propose a formal description of the problem of differential harvesting. The objective is to optimize the routing of the grape harvester under several constraints. Our approach is based on Constraint Programming (CP), which is a powerful paradigm to solve combinatorial problems. We give a formulation of the problem as a Constraint Optimization Problem. The last section of the paper is devoted to preliminary experimental results on real data from a French vineyard.
Type de document :
Communication dans un congrès
CP: Principles and Practice of Constraint Programming, Aug 2015, Cork, Ireland. 21st International Conference on Principles and Practice of Constraint Programming, 2015
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01275591
Contributeur : Joël Quinqueton <>
Soumis le : mercredi 17 février 2016 - 16:53:27
Dernière modification le : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-01275591, version 1

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Nicolas Briot, Christian Bessière, Philippe Vismara. A Constraint-Based Approach to the Differential Harvest Problem. CP: Principles and Practice of Constraint Programming, Aug 2015, Cork, Ireland. 21st International Conference on Principles and Practice of Constraint Programming, 2015. 〈lirmm-01275591〉

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