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Agricultural Machinery Adequacy for Handling the Mombaça Grass Biomass in Agroforestry Systems

Authors :
Gelton Fernando de Morais
Jenyffer da Silva Gomes Santos
Daniela Han
Luiz Octávio Ramos Filho
Marcelo Gomes Barroca Xavier
Leonardo Schimidt
Hugo Thiago de Souza
Fernanda Ticianelli de Castro
Vanilde Ferreira de Souza-Esquerdo
Daniel Albiero
Source :
Agriculture, Vol 13, Iss 7, p 1416 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The current scenario of Agroforestry Systems (AFS) worldwide lacks specific machinery, resulting in practically all operations being carried out manually. This leads to a significant physical effort for small-scale farmers and limits the implementation of AFS to small areas. The objective of the study was to evaluate the suitability of existing machines for performing agroforestry tasks. This research utilizes Descriptive Statistics and Exponentially Weighted Moving Average methods to evaluate the data and compare the treatments, where different machines are used to cut Mombaça grass (Megathyrsus maximus Jacq): (i) costal brushcutter (CBC); (ii) tractor-mounted rotary brushcutter (RBC); and (iii) mini grain reaper machine (GRM). The experiments were conducted in Jaguariúna, São Paulo, Brazil. GRM is recommended for achieving greater biomass production, reducing raking time, and minimizing operational costs. CBC is suitable for smaller areas due to its affordability and slow operation, which requires significant physical effort. RBC is recommended for reducing working time, physical effort, and personnel costs, making it suitable for larger-scale contexts.

Details

Language :
English
ISSN :
13071416 and 20770472
Volume :
13
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.0b89d5dc74144c6f8e1766e9ea443fae
Document Type :
article
Full Text :
https://doi.org/10.3390/agriculture13071416