Delineation of Rectangular Management Zones Under Uncertainty Conditions

Jose L. Saez, Victor M. Albornoz

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.

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Paper Citation


in Harvard Style

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 - Volume 1: ICORES, ISBN 978-989-758-171-7, pages 271-278. DOI: 10.5220/0005708202710278


in Bibtex Style

@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 - Volume 1: ICORES,},
year={2016},
pages={271-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005708202710278},
isbn={978-989-758-171-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Delineation of Rectangular Management Zones Under Uncertainty Conditions
SN - 978-989-758-171-7
AU - Saez J.
AU - Albornoz V.
PY - 2016
SP - 271
EP - 278
DO - 10.5220/0005708202710278