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Authors: Ilya Ioslovich and Raphael Linker

Affiliation: Faculty of Civil and Environmental Engineering and Technion–Israel Institute of Technology, Israel

ISBN: 978-989-758-122-9

ISSN: 2184-2809

Keyword(s): Irrigation Scheduling, Optimal Control.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Engineering Applications ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Planning and Scheduling ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Simulation and Modeling ; Symbolic Systems

Abstract: Water stress is one of the most influential factors contributing to crop yield loss. The importance of the irrigation constantly increases because of water scarcity and growing demand for agricultural production worldwide. Previously, an approach using empirical water production functions and analytic optimal control methodology has been developed for optimal irrigation scheduling. Such an approach based on numerical optimal control is an alternative to common irrigation scheduling based on agronomy practice. Nowadays, more complex dynamic crop simulation models, such as the FAO AquaCrop model, predict crop responses to different irrigation strategies and climates. The state variables of the AquaCrop model include crop characteristics, such as biomass, and soil water content in up to 12 soil layers. In this paper the numerical optimal control scheme for irrigation scheduling and crop water production function development is described and demonstrated using this model and the TOMLAB op timization library. Maize crop in Foggia, Italy, for season of the year 2000, is used as an illustrative case study. (More)

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Paper citation in several formats:
Ioslovich, I. and Linker, R. (2015). Optimal Irrigation Scheduling and Crop Production Functions Development using AquaCrop and TOMLAB.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, ISSN 2184-2809, pages 49-52. DOI: 10.5220/0005501700490052

@conference{icinco15,
author={Ilya Ioslovich. and Raphael Linker.},
title={Optimal Irrigation Scheduling and Crop Production Functions Development using AquaCrop and TOMLAB},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={49-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005501700490052},
isbn={978-989-758-122-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Optimal Irrigation Scheduling and Crop Production Functions Development using AquaCrop and TOMLAB
SN - 978-989-758-122-9
AU - Ioslovich, I.
AU - Linker, R.
PY - 2015
SP - 49
EP - 52
DO - 10.5220/0005501700490052

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