Skip to Main content Skip to Navigation
Conference papers

Exact method approaches for the differential harvest problem

Abstract : The trend towards a precise, numerical, and data-intensive agriculture brings forward the need to design and combine optimization techniques to obtain decision support methodologies that are efficient, interactive, robust and adaptable. In this paper, we consider the Differential Harvest Problem (DHP) in precision viticulture. To tackle this problem, we dedicated a specific column generation approach with enumeration techniques and a constraint programming model. Therefore, a set of simulated instances (which differ in field shape, zone shape, and size) was created to perform a parametric study on our different approaches. The specific column generation approach presented in this paper is preliminary work in the development path of more sophisticated resolution methods such as robust optimization and column generation/constraint programming hybridization.
Document type :
Conference papers
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

https://hal.inrae.fr/hal-02968443
Contributor : Isabelle Nault <>
Submitted on : Friday, October 16, 2020 - 2:32:19 PM
Last modification on : Wednesday, May 26, 2021 - 11:58:01 AM

File

CPAIOR_2020_paper_35.pdf
Files produced by the author(s)

Identifiers

Citation

Gabriel Volte, Eric Bourreau, Rodolphe Giroudeau, Olivier Naud. Exact method approaches for the differential harvest problem. 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), Sep 2020, Vienna, Austria. pp.492-510, ⟨10.1007/978-3-030-58942-4_32⟩. ⟨hal-02968443⟩

Share

Metrics

Record views

109

Files downloads

76