loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jose L. Saez and Victor M. Albornoz

Affiliation: Universidad Tecnica Federico Santa Maria, Chile

Keyword(s): OR in Agriculture, Stochastic Optimization, Management Zones, Precision Agriculture.

Related Ontology Subjects/Areas/Topics: Applications ; Energy and Environment ; Linear Programming ; Mathematical Modeling ; Methodologies and Technologies ; Operational Research ; Pattern Recognition ; Software Engineering ; Stochastic Optimization

Abstract: In this article we cover the problem of generating a partition of an agricultural field into rectangular and homogeneous management zones or quarters according to a given soil property, which has variability in time that is presented as a number of possible scenarios. This problem combines aspects of precision agriculture and optimization with the purpose of achieving a site and time specific management of the field properties that is consistent and effective in time for a medium term horizon. More specifically, we propose a two stage integer stochastic linear programming model with recource that solves the problem of generating a partition facing a finite number of future scenarios, with a solution that gives satisfactory results to any possible value of the chosen soil property. We describe the proposed model, the adopted methodology and the results achieved with this methodology.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.135.190.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Saez, J. and Albornoz, V. (2016). Delineation of Rectangular Management Zones Under Uncertainty Conditions. In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-171-7; ISSN 2184-4372, SciTePress, pages 271-278. DOI: 10.5220/0005708202710278

@conference{icores16,
author={Jose L. Saez. and Victor M. Albornoz.},
title={Delineation of Rectangular Management Zones Under Uncertainty Conditions},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2016},
pages={271-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005708202710278},
isbn={978-989-758-171-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES
TI - Delineation of Rectangular Management Zones Under Uncertainty Conditions
SN - 978-989-758-171-7
IS - 2184-4372
AU - Saez, J.
AU - Albornoz, V.
PY - 2016
SP - 271
EP - 278
DO - 10.5220/0005708202710278
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic