Reference
R. C. Kassing, B. De Schutter, and E.
Abraham, "Optimal control for precision irrigation of a large-scale
plantation,"
Water Resources Research, vol. 56, no. 10,
Oct. 2020. Article e2019WR026989.
Abstract
Distributing water optimally is a complex problem that many farmers face
yearly, especially in times of drought. In this work, we propose
optimization-based feedback control to improve crop yield and water
productivity in agriculture irrigation for a plantation consisting of multiple
fields. The interaction between soil, water, crop (sugarcane in this work), and
the atmosphere is characterized by an agro-hydrological model using the crop
water productivity modeling software AquaCrop-OS. To optimally distribute water
over the fields, we propose a two-level optimal control approach. In this
approach, the seasonal irrigation planner determines the optimal allocation of
water over the fields for the entire growth season to maximize the crop yield,
by considering an approximation of the crop productivity function. In addition,
the model predictive controller takes care of the daily regulation of the soil
moisture, respecting the water distribution decided on by the seasonal planner.
To reduce the computational complexity of the daily controller, a mixed-logic
dynamical model is identified based on the AquaCrop-OS model. This dynamical
model incorporates saturation dynamics explicitly to improve model quality. To
further improve performance, we create an evapotranspiration model by
considering the expected development of the crop over the season using
remote-sensing-based measurements of the canopy cover. The performance of the
two-level approach is evaluated through a closed-loop simulation in AquaCrop-OS
of a real sugarcane plantation in Mozambique. Our optimal control approach
boosts water productivity by up to 30% compared to local heuristics and can
respect water use constraints that arise in times of drought.
Publisher page
Downloads
Supplement
- R. C. Kassing, B. De Schutter, and E. Abraham, "Supporting information for "optimal control for precision irrigation of a large-scale plantation"," Tech. report, Delft University of Technology, Delft, The Netherlands, Oct. 2020. (abstract, bibtex, report (pdf))
BibTeX
@article{KasDeS:20-004,
author = {Kassing, Ruud C. and De Schutter, Bart and Abraham, Edo},
title = {Optimal Control for Precision Irrigation of a Large-Scale
Plantation},
journal = {Water Resources Research},
volume = {56},
number = {10},
month = oct,
year = {2020},
note = {Article e2019WR026989}
}