Optimización del trozado de fustes en el nivel de unidad de manejo forestal

Autores
Yapura, Pablo Fernando; Sañudo, Gastón; Keller, A. E.; Fassola, H. E.; Crechi, E. H.; Winck, R. A.; Barth, S.; Caraballo, Horacio
Año de publicación
2019
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In planning forest harvests the bucking optimization problem arises at tree-level as well as standand forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal bucking patterns at tree-level for major species in NE Argentina. At the stand- and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking pattern generation. GLPK and Java were used for coding OptimEsus, a software tool aimed at solving problems at these levels. A three stand problem was solved as a prototypical example.
Laboratorio de Investigación de Sistemas Ecológicos y Ambientales
Instituto Nacional de Tecnología Agropecuaria
Materia
Ciencias Agrarias
Bucking pattern
Longest path algorithm
Linear programming
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125356
Acceder
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network_name_str SEDICI (UNLP)
spelling Optimización del trozado de fustes en el nivel de unidad de manejo forestalTree-stem bucking optimization at the forest management unit levelYapura, Pablo FernandoSañudo, GastónKeller, A. E.Fassola, H. E.Crechi, E. H.Winck, R. A.Barth, S.Caraballo, HoracioCiencias AgrariasBucking patternLongest path algorithmLinear programmingIn planning forest harvests the bucking optimization problem arises at tree-level as well as standand forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal bucking patterns at tree-level for major species in NE Argentina. At the stand- and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking pattern generation. GLPK and Java were used for coding OptimEsus, a software tool aimed at solving problems at these levels. A three stand problem was solved as a prototypical example.Laboratorio de Investigación de Sistemas Ecológicos y AmbientalesInstituto Nacional de Tecnología Agropecuaria2019info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionResumenhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf117-119http://sedici.unlp.edu.ar/handle/10915/125356spainfo:eu-repo/semantics/altIdentifier/issn/2686-7110info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:30:09Zoai:sedici.unlp.edu.ar:10915/125356Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:30:09.405SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimización del trozado de fustes en el nivel de unidad de manejo forestal
Tree-stem bucking optimization at the forest management unit level
title Optimización del trozado de fustes en el nivel de unidad de manejo forestal
spellingShingle Optimización del trozado de fustes en el nivel de unidad de manejo forestal
Yapura, Pablo Fernando
Ciencias Agrarias
Bucking pattern
Longest path algorithm
Linear programming
title_short Optimización del trozado de fustes en el nivel de unidad de manejo forestal
title_full Optimización del trozado de fustes en el nivel de unidad de manejo forestal
title_fullStr Optimización del trozado de fustes en el nivel de unidad de manejo forestal
title_full_unstemmed Optimización del trozado de fustes en el nivel de unidad de manejo forestal
title_sort Optimización del trozado de fustes en el nivel de unidad de manejo forestal
dc.creator.none.fl_str_mv Yapura, Pablo Fernando
Sañudo, Gastón
Keller, A. E.
Fassola, H. E.
Crechi, E. H.
Winck, R. A.
Barth, S.
Caraballo, Horacio
author Yapura, Pablo Fernando
author_facet Yapura, Pablo Fernando
Sañudo, Gastón
Keller, A. E.
Fassola, H. E.
Crechi, E. H.
Winck, R. A.
Barth, S.
Caraballo, Horacio
author_role author
author2 Sañudo, Gastón
Keller, A. E.
Fassola, H. E.
Crechi, E. H.
Winck, R. A.
Barth, S.
Caraballo, Horacio
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Agrarias
Bucking pattern
Longest path algorithm
Linear programming
topic Ciencias Agrarias
Bucking pattern
Longest path algorithm
Linear programming
dc.description.none.fl_txt_mv In planning forest harvests the bucking optimization problem arises at tree-level as well as standand forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal bucking patterns at tree-level for major species in NE Argentina. At the stand- and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking pattern generation. GLPK and Java were used for coding OptimEsus, a software tool aimed at solving problems at these levels. A three stand problem was solved as a prototypical example.
Laboratorio de Investigación de Sistemas Ecológicos y Ambientales
Instituto Nacional de Tecnología Agropecuaria
description In planning forest harvests the bucking optimization problem arises at tree-level as well as standand forest management unit-level. In a former project, Dynamic Programming has been coded in spreadsheets for obtaining optimal bucking patterns at tree-level for major species in NE Argentina. At the stand- and forest-level the problem has been formulated as a linear programming, master problem, and using a longest path algorithm for sub-problem, bucking pattern generation. GLPK and Java were used for coding OptimEsus, a software tool aimed at solving problems at these levels. A three stand problem was solved as a prototypical example.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Resumen
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/125356
url http://sedici.unlp.edu.ar/handle/10915/125356
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2686-7110
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
117-119
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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