Optimal Irrigation Scheduling and Crop Production Functions Development using AquaCrop and TOMLAB

Ilya Ioslovich, Raphael Linker

2015

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 optimization library. Maize crop in Foggia, Italy, for season of the year 2000, is used as an illustrative case study.

Paper Citation

in Harvard Style

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, pages 49-52. DOI: 10.5220/0005501700490052

in Bibtex Style

@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},
}

in EndNote Style

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