Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1181762
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dc.contributor.authorMORAIS, G. F. de
dc.contributor.authorHAN, D.
dc.contributor.authorSANTOS, J. da S. G.
dc.contributor.authorRAMOS FILHO, L. O.
dc.contributor.authorXAVIER, M. G. B.
dc.contributor.authorSCHIMIDT, L.
dc.contributor.authorSOUZA, H. T. de
dc.contributor.authorCASTRO, F. T. de
dc.contributor.authorGARCIA, A. P.
dc.contributor.authorALBIERO, D.
dc.date.accessioned2025-11-24T13:48:57Z-
dc.date.available2025-11-24T13:48:57Z-
dc.date.created2025-11-24
dc.date.issued2025
dc.identifier.citationRevista Brasileira de Engenharia Agrícola e Ambiental, v. 29, n. 10, p.e290222, 2025.
dc.identifier.issn1807-1929
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1181762-
dc.descriptionAbstract: Agroforestry Systems (AFS) integrate trees, agronomic crops and forage species, focusing on agricultural sustainability and productivity. However, the lack of specific mechanization for AFS limits their efficiency. This research aimed to assess the adequacy of existing agricultural machinery for biomass handling in AFS and thus contribute to solving the issue of lack of specific mechanization in AFS for family farming, in order to foster the expansion of AFS lands. This study assessed three types of machinery for handling Mombaça grass (Megathyrsus maximus Jacq): coastal brushcutter (CBC), tractor-mounted rotary brushcutter (RBC), and mini grain reaper machine (GRM) throughout three cutting cycles. The dimensional analysis and Likert scale methods were employed for assessment of cutting height, handling time, labor cost, fuel consumption, regrowth speed, dry matter weight, and raking time of cut grass. Obtained through dimensional analysis, Pi-terms Π1 and Π3 represent, respectively, the treatment’s quality of cut and financial cost. The binomial Π1 × Π3 represents the cost-benefit ratio. CBC was suitable for small areas, to guarantee better grass regrowth rate, and higher biomass production, while providing the best cost-benefit ratio for fuel. GRM was the most adequate for obtaining the lowest operational costs, the lowest time required for raking up cut grass, higher biomass production, providing the best financial estimate for fuel. RBC was indicated for faster work, handling at higher scales, and considerably reduced physical strain.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectSistema agroflorestal
dc.titleDimensional analysis of the adequacy of agricultural machinery for biomass handling in agroforestry systems.
dc.typeArtigo de periódico
dc.subject.thesagroAgrossilviculturaeng
dc.subject.thesagroCapim Coloniãoeng
dc.subject.thesagroMecanização Agrícolaeng
dc.subject.thesagroRoçadeiraeng
dc.subject.thesagroColheitadeiraeng
dc.subject.nalthesaurusAgroforestryeng
dc.subject.nalthesaurusMechanizationeng
dc.subject.nalthesaurusMegathyrsus maximuseng
dc.subject.nalthesaurusFamily farmseng
riaa.ainfo.id1181762
riaa.ainfo.lastupdate2025-11-24
dc.identifier.doihttps://doi.org/10.1590/1807-1929/agriambi.v29n10e290222
dc.contributor.institutionGELTON F. DE MORAIS, UNIVERSIDADE ESTADUAL DE CAMPINAS; DANIELA HAN, UNIVERSIDADE ESTADUAL DE CAMPINAS; JENYFFER DA S. G. SANTOS, UNIVERSIDADE ESTADUAL DE CAMPINAS; LUIZ OCTAVIO RAMOS FILHO, CNPMA; MARCELO G. B. XAVIER, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; LEONARDO SCHIMIDT, UNIVERSIDADE ESTADUAL DE CAMPINAS; HUGO T. DE SOUZA, UNIVERSIDADE ESTADUAL PAULISTA; FERNANDA T. DE CASTRO, UNIVERSIDADE FEDERAL DE SÃO CARLOS; ANGEL P. GARCIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; DANIEL ALBIERO, UNIVERSIDADE ESTADUAL DE CAMPINAS.
Appears in Collections:Artigo em periódico indexado (CNPMA)

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