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

Author

Listed:
  • Gelton Fernando de Morais

    (Faculdade de Engenharia Agrícola, Universidade Estadual de Campinas, Campinas 13083-875, Brazil)

  • Jenyffer da Silva Gomes Santos

    (Faculdade de Engenharia Agrícola, Universidade Estadual de Campinas, Campinas 13083-875, Brazil)

  • Daniela Han

    (Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Botucatu 18610-034, Brazil)

  • Luiz Octávio Ramos Filho

    (Empresa Brasileira de Pesquisa Agropecuária, Jaguariúna 13918-110, Brazil)

  • Marcelo Gomes Barroca Xavier

    (Centro de Ciências Agrárias, Universidade Federal de São Carlos, Araras 13600-970, Brazil)

  • Leonardo Schimidt

    (Instituto de Biologia, Universidade Estadual de Campinas, Campinas 13083-862, Brazil)

  • Hugo Thiago de Souza

    (Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Botucatu 18610-034, Brazil)

  • Fernanda Ticianelli de Castro

    (Centro de Ciências Agrárias, Universidade Federal de São Carlos, Araras 13600-970, Brazil)

  • Vanilde Ferreira de Souza-Esquerdo

    (Faculdade de Engenharia Agrícola, Universidade Estadual de Campinas, Campinas 13083-875, Brazil)

  • Daniel Albiero

    (Faculdade de Engenharia Agrícola, Universidade Estadual de Campinas, Campinas 13083-875, Brazil)

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.

Suggested Citation

  • 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 C, 2023. "Agricultural Machinery Adequacy for Handling the Mombaça Grass Biomass in Agroforestry Systems," Agriculture, MDPI, vol. 13(7), pages 1-28, July.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:7:p:1416-:d:1195823
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    References listed on IDEAS

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