Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Aníbal M. Blanco"'
Autor:
Franco A. Molinari, Aníbal M. Blanco, Federico R. Núñez Fré, Víctor F. Juan, Guillermo R. Chantre
Publikováno v:
Agronomy, Vol 12, Iss 10, p 2369 (2022)
A crop–weed simulation model is presented to compare and evaluate integrated weed-management (IWM) strategies. Specifically, the model was parameterized for soybean crops in competition with Euphorbia davidii Subils. We used both weed and crop demo
Externí odkaz:
https://doaj.org/article/005d1c0aa4054cc2a414afb17a64139d
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Desolventizing is a key process in the vegetable oil industry, aimed at removing residual hexane from solid meals resulting from the extraction stage of crushed oilseeds. Desolventizing takes place industrially in a large and complex piece of equipme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d24c77866caa9291e114563c71fd47b6
https://www.sciencedirect.com/science/article/pii/S0260877421003964
https://www.sciencedirect.com/science/article/pii/S0260877421003964
Autor:
J. Alberto Bandoni, Carolina Taraborelli, M. Susana Moreno, Flavio D’Angelo, Aníbal M. Blanco, Facundo Iturmendi
Publikováno v:
RID-UNRN (UNRN)
Universidad Nacional de Río Negro
instacron:UNRN
Universidad Nacional de Río Negro
instacron:UNRN
Fil: Blanco, Aníbal M. Universidad Nacional del Sur - CONICET. Planta Piloto de Ingeniería Química - PLAPIQUI. Bahia Blanca, Argentina. Fil: Moreno, Susana M. Universidad Nacional del Sur - CONICET. Planta Piloto de Ingeniería Química - PLAPIQUI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::244f4fcc52f12cf45367bf862226e37d
https://doi.org/10.1287/inte.2020.1045
https://doi.org/10.1287/inte.2020.1045
Population based metaheuristic can benefit from explicit parallelization in order to address complex numerical optimization problems. Typical realistic problems usually involve non-linear functions and many constraints, making the identification of g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1159fecaace2383ddaa6dd04495f03c
https://link.springer.com/article/10.1007/s10586-019-02933-1
https://link.springer.com/article/10.1007/s10586-019-02933-1
Autor:
Aníbal M. Blanco
Publikováno v:
Decision Support Systems for Weed Management ISBN: 9783030444013
Two important components of decision support systems (DSSs) are a model that describes the behaviour of the system under study along a certain period of time and an optimization algorithm that searches for one or several ‘good’ options within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ab967c9b0b26b29c6701c117e3b3927
https://doi.org/10.1007/978-3-030-44402-0_3
https://doi.org/10.1007/978-3-030-44402-0_3
Publikováno v:
Decision Support Systems for Weed Management ISBN: 9783030444013
This chapter describes a mathematical simulation model for the multiannual assessment of Integrated Weed Management (IWM) strategies. The model allows to simulate the competitive interaction between an annual weed species and a grain crop. From the w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4121837b97f09367ae339c9e512c8ba0
https://doi.org/10.1007/978-3-030-44402-0_15
https://doi.org/10.1007/978-3-030-44402-0_15
Publikováno v:
Computers and Electronics in Agriculture. 130:128-141
Fil: Catala, Luis Pedro. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Bahia Blanca. Planta Piloto de Ingenieria Quimica. Universidad Nacional del Sur. Planta Piloto de Ingenieria Quimica; Argenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fabfc1729996aafb4027fc87ee776114
https://doi.org/10.1016/j.compag.2016.10.008
https://doi.org/10.1016/j.compag.2016.10.008
Publikováno v:
Computers and Electronics in Agriculture. 175:105597
A mathematical simulation model for the multi-annual assessment of Integrated Weed Management strategies is presented. The model allows the simulation of the competitive interaction between annual weeds and crops. For weed development, the following
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25ecbeeb22c9dbc2047c10f7364d0ba0
https://doi.org/10.1016/j.compag.2020.105597
https://doi.org/10.1016/j.compag.2020.105597
Autor:
Aníbal M. Blanco, M. Susana Moreno
Inspired by a real case of a large regional hospital in Argentina, this research presents an integer linear programming (ILP) model for the patient appointment scheduling problem. The mathematical formulation allows to plan the admission of patients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a309f35dc093cbbde6aa9cf0f3f04a17
https://www.sciencedirect.com/science/article/pii/S0360835218302821?via=ihub
https://www.sciencedirect.com/science/article/pii/S0360835218302821?via=ihub
Most popular emergence prediction models require species-specific population-based parameters to modulate thermal/hydrothermal accumulation. Such parameters are frequently unknown and difficult to estimate. Moreover, such models also rely on hardly a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d50a482e7569eafae3593007818719b
http://linkinghub.elsevier.com/retrieve/pii/S1537511017306335
http://linkinghub.elsevier.com/retrieve/pii/S1537511017306335