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dc.contributor.author
Aguirre Zapata, Estefanía  
dc.contributor.author
Alvarez, Hernan  
dc.contributor.author
Dagatti Bazan, Carla Vanina  
dc.contributor.author
Di Sciascio, Fernando Agustín  
dc.contributor.author
Amicarelli, Adriana Natacha  
dc.date.available
2024-02-19T14:15:42Z  
dc.date.issued
2023-08  
dc.identifier.citation
Aguirre Zapata, Estefanía; Alvarez, Hernan; Dagatti Bazan, Carla Vanina; Di Sciascio, Fernando Agustín; Amicarelli, Adriana Natacha; Parametric interpretability of growth kinetics equations in a process model for the life cycle of Lobesia botrana; Elsevier Science; Ecological Modelling; 482; 110407; 8-2023; 1-16  
dc.identifier.issn
0304-3800  
dc.identifier.uri
http://hdl.handle.net/11336/227439  
dc.description.abstract
Modeling processes span multiple disciplines and aim to generate new knowledge about a given process or system for subsequent analysis or control. Mathematical models are representations of these systems using mathematical equations and parameters, which may or may not be interpretable depending on their application or use. In the specific case of the life cycle of L. botrana, the goal of the mathematical model is to develop a model-based decision support system (MB-DSS) that enables experts to monitor the evolution of the pest using predictive models. Based on these predictions, timely decisions can be made to control and eradicate the pest. The interpretability of model parameters is critical to the design of MB-DSS systems. This paper analyzes the response of the growth model of L. botrana under laboratory conditions and proposes a new structure that considers two limiting factors of growth: temperature and relative humidity. The proposed analysis seeks to determine the best growth kinetics while preserving the compromise between the model's fit to experimental data, interpretability, identifiability, and sensitivity of the model parameters. The results show an improvement in the fit, descriptive capacity, and number of inputs considered by the model.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
GROWTH KINETICS  
dc.subject
IDENTIFIABILITY  
dc.subject
INTERPRETABILITY  
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LOBESIA BOTRANA  
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PARAMETRIC SENSITIVITY  
dc.subject.classification
Sistemas de Automatización y Control  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Parametric interpretability of growth kinetics equations in a process model for the life cycle of Lobesia botrana  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-02-19T10:42:00Z  
dc.journal.volume
482  
dc.journal.number
110407  
dc.journal.pagination
1-16  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Aguirre Zapata, Estefanía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina. Universidad Nacional de Colombia. Sede Medellín. Facultad de Minas. Departamento de Procesos y Energía; Colombia  
dc.description.fil
Fil: Alvarez, Hernan. Universidad Nacional de Colombia. Sede Medellín. Facultad de Minas. Departamento de Procesos y Energía; Colombia  
dc.description.fil
Fil: Dagatti Bazan, Carla Vanina. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Mendoza-san Juan. Estacion Experimental Agropecuaria Mendoza. Agencia de Extension Rural Lujan de Cuyo.; Argentina  
dc.description.fil
Fil: Di Sciascio, Fernando Agustín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.description.fil
Fil: Amicarelli, Adriana Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina  
dc.journal.title
Ecological Modelling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304380023001382  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ecolmodel.2023.110407