Dimensional analysis of the adequacy of agricultural machinery for biomass handling in agroforestry systems

ABSTRACT 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.

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Journal
Revista Brasileira de Engenharia Agrícola e Ambiental
Published
2025-01-01
DOI
https://doi.org/10.1590/1807-1929/agriambi.v29n10e290222
Primary Topic
Agricultural Engineering and Mechanization
Type
article
Field-Weighted Citation Impact
0.00

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article

Dimensional analysis of the adequacy of agricultural machinery for biomass handling in agroforestry systems

Daniel Albiero, Daniela Han, Gelton Fernando de Morais, Fernanda Ticianelli de Castro et al.
Revista Brasileira de Engenharia Agrícola e Ambiental
Agricultural Engineering and Mechanization
article

Dimensional analysis of the adequacy of agricultural machinery for biomass handling in agroforestry systems

Daniel Albiero, Daniela Han, Gelton Fernando de Morais, Fernanda Ticianelli de Castro, Luíz Octávio Ramos Filho, Marcelo Xavier, Angel Pontin García, Jenyffer da S. G Santos, Leonardo Schimidt, Hugo Thiago de Souza
article en

Abstract

ABSTRACT 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.

Revista Brasileira de Engenharia Agrícola e AmbientalVol. 29(10)
Universidade Federal Rural do Rio de Janeiro (BR), Universidade Federal de São Carlos (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Brazilian Agricultural Research Corporation (BR), Universidade Estadual Paulista (Unesp) (BR)
Empresa Brasileira de Pesquisa Agropecuária
Openalex Percentile: Top 82%
Agricultural Engineering and Mechanization
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