Nonlinear Dynamic Lettuce Growth Model: Parameter Selection and Estimation for N-Limited Experiments

Ioslovish, I., Ramirez Sosa Moran, M.I. and Gutman Per-O 2005. Nonlinear Dynamic Lettuce Growth Model: Parameter Selection and Estimation for N-Limited Experiments . Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. Seville, Spain, December 12-15, 2005 12 Dec 2005 IEEE . https://doi.org/10.1109/CDC.2005.1583043

TitleNonlinear Dynamic Lettuce Growth Model: Parameter Selection and Estimation for N-Limited Experiments
AuthorsIoslovish, I., Ramirez Sosa Moran, M.I. and Gutman Per-O
TypeConference paper
Abstract

Regulations of European Commission have imposed upper limits of nitrate in lettuce due to possible health hazards for consumers. These nitrate limits create problems for growers in Northern countries. Therefore an effective modeling tool for lettuce growth is necessary. A parameter estimation for a nonlinear three-state model for N-limited lettuce growth in greenhouses is presented in this paper. The variable structural nitrogen concentration and water content are included in the model. The experimental data collected for identification does not allow to readily estimate all parameters of the model, and a recently proposed Dominant Parameter Selection (DPS) method [8], [9] is used to select the set of parameters to be effectively estimated. The calibrated model was perfectly fitted to existing experimental data.

Keywords Nonlinear identification; Lettuce growth; Nicolet model
Year2005
ConferenceDecision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05
PublisherIEEE
Publication dates
PublishedDec 2005
Journal citationpp. 5534 - 5539
Book title44th IEEE Conference on Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05.
ISBN0-7803-9567-0
Digital Object Identifier (DOI)https://doi.org/10.1109/CDC.2005.1583043
Web address (URL) of conference proceedingshttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10559

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