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Échantillonnage sous contraintes en viticulture de précision

Abstract : The development of precision agriculture pushes growers to collect sampling data more efficiently. Sampling methods rely on statistical tools that do not always consider operational constraints. The purpose of this study is to use Constraint Programming to optimize sampling in vineyard block. It is both about choosing sampling points that meet operational constraints in the vineyard and optimizing the path taken by the practionner. It is thus a routing problem for which Constraint Programing developed many filtering algorithms in the last few years, in particular the constraint WeightedSubCircuit [Briot et al. 2017], well suited for routes connecting a small subset of points. We expose in this paper a first model for a simplified approach of the problem as well as the first results that we get from the Choco solver.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01924365
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Submitted on : Thursday, November 15, 2018 - 7:13:00 PM
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Baptiste Oger, Bruno Tisseyre, Philippe Vismara. Échantillonnage sous contraintes en viticulture de précision. 14èmes Journées Francophones de Programmation par Contraintes (JFPC 2018), Jun 2018, Amiens, France. pp.119-122. ⟨lirmm-01924365⟩

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