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Metodología para el modelado y la estimación de parámetros del proceso de crecimiento de Lobesia botrana

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Metodología para el modelado y la estimación de parámetros del proceso de crecimiento de Lobesia botrana

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Aguirre-Zapata, E.; Garcia-Tirado, J.; Morales, H.; Di Sciascio, F.; Amicarelli, AN. (2022). Metodología para el modelado y la estimación de parámetros del proceso de crecimiento de Lobesia botrana. Revista Iberoamericana de Automática e Informática industrial. 20(1):68-79. https://doi.org/10.4995/riai.2022.17746

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191282

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Title: Metodología para el modelado y la estimación de parámetros del proceso de crecimiento de Lobesia botrana
Secondary Title: Methodology for modeling and parameter estimation of the growth process of Lobesia botrana
Author: Aguirre-Zapata, Estefania Garcia-Tirado, Jose Morales, Humberto di Sciascio, Fernando Amicarelli, Adriana N.
Issued date:
Abstract:
[EN] Lobesia botrana (L. botrana), is a quarantine pest that causes damage to grapevines and generates economic losses for the region of Cuyo in Argentina. Different researchers have sought to safeguard the integrity of ...[+]


[ES] Lobesia botrana (L. botrana), es una plaga cuarentenaria que provoca danos a la vid, y genera perdidas económicas para la región de Cuyo en Argentina. Diferentes investigaciones han buscado salvaguardar la integridad ...[+]
Subjects: Modeling and identification of biological systems , Parameter estimation , Gray box modeling , Lobesia botrana , Nonlinear least-squares , Structural identifiability , Modelado e identificación de sistemas biológicos , Estimación paramétrica , Modelado de caja gris , Mínimos cuadrados no lineales , Identificabilidad estructural
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Source:
Revista Iberoamericana de Automática e Informática industrial. (issn: 1697-7912 ) (eissn: 1697-7920 )
DOI: 10.4995/riai.2022.17746
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/riai.2022.17746
Thanks:
Estefanía Aguirre-Zapata esta financiada por una beca doctoral latinoamericana del Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) de Argentina, y cofinanciada por el programa ENLAZAMUNDOS de la Agencia ...[+]
Type: Artículo

References

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