Advanced computational methods for agriculture machinery movement optimization with applications in sugarcane production

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of South Bohemia-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorNanjing Agriculture University-
Autor(es): dc.creatorFilip, Martin-
Autor(es): dc.creatorZoubek, Tomas-
Autor(es): dc.creatorBumbalek, Roman-
Autor(es): dc.creatorCerny, Pavel-
Autor(es): dc.creatorBatista, Carlos E. [UNESP]-
Autor(es): dc.creatorOlsan, Pavel-
Autor(es): dc.creatorBartos, Petr-
Autor(es): dc.creatorKriz, Pavel-
Autor(es): dc.creatorXiao, Maohua-
Autor(es): dc.creatorDolan, Antonin-
Autor(es): dc.creatorFindura, Pavol-
Data de aceite: dc.date.accessioned2022-02-22T00:43:47Z-
Data de disponibilização: dc.date.available2022-02-22T00:43:47Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/agriculture10100434-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/205227-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/205227-
Descrição: dc.descriptionThis paper considers the evolution of processes applied in agriculture for field operations developed from non-organized handmade activities into very specialized and organized production processes. A set of new approaches based on the application of metaheuristic optimization methods and smart automatization known as Agriculture 4.0 has enabled a rapid increase in in-field operations’ productivity and offered unprecedented economic benefits. The aim of this paper is to review modern approaches to agriculture machinery movement optimization with applications in sugarcane production. Approaches based on algorithms for the division of spatial configuration, route planning or path planning, as well as approaches using cost parameters, e.g., energy, fuel and time consumption, are presented. The combination of algorithmic and economic methodologies including evaluation of the savings and investments and their cost/benefit relation is discussed.-
Descrição: dc.descriptionJihočeská Univerzita v Českých Budějovicích-
Descrição: dc.descriptionFaculty of Agriculture University of South Bohemia, Studentska, 1668-
Descrição: dc.descriptionFaculty of Education University of South Bohemia, Jeronymova, 10-
Descrição: dc.descriptionFaculty of Engineering of Ilha Solteira (FEIS/UNESP) São Paulo State University, Passeio Monção, 830-
Descrição: dc.descriptionCollege of Engineering Nanjing Agriculture University-
Descrição: dc.descriptionFaculty of Engineering of Ilha Solteira (FEIS/UNESP) São Paulo State University, Passeio Monção, 830-
Descrição: dc.descriptionJihočeská Univerzita v Českých Budějovicích: GAJU 059/2019/Z-
Formato: dc.format1-20-
Idioma: dc.languageen-
Relação: dc.relationAgriculture (Switzerland)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAgricultural machinery-
Palavras-chave: dc.subjectMetaheuristic algorithm-
Palavras-chave: dc.subjectOptimization-
Palavras-chave: dc.subjectPrecision agriculture-
Palavras-chave: dc.subjectRoute planning-
Título: dc.titleAdvanced computational methods for agriculture machinery movement optimization with applications in sugarcane production-
Aparece nas coleções:Repositório Institucional - Unesp

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