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Modelling of Harvesting Machines’ Technical Parameters and Prices

Author

Listed:
  • Tatevik Yezekyan

    (Department of Land, Environment, Agriculture and Forestry, University of Padova, Via dell’Università 16, 35020 Legnaro, Italy)

  • Francesco Marinello

    (Department of Land, Environment, Agriculture and Forestry, University of Padova, Via dell’Università 16, 35020 Legnaro, Italy)

  • Giannantonio Armentano

    (Edizioni L’Informatore Agrario srl, Via Bencivenga-Biondani, 16, 37133 Verona, Italy)

  • Samuele Trestini

    (Department of Land, Environment, Agriculture and Forestry, University of Padova, Via dell’Università 16, 35020 Legnaro, Italy)

  • Luigi Sartori

    (Department of Land, Environment, Agriculture and Forestry, University of Padova, Via dell’Università 16, 35020 Legnaro, Italy)

Abstract

Technical and performance parameters of agricultural machines directly impact the operational efficiency and entire crop production. Sometimes, overestimation of technical and dimensional parameters of harvesting equipment is carried out with the intention of enhancing the operational efficiency, but this approach might turn out to negatively impact productivity due to unbalanced system design, and ultimately lead to financial losses. Therefore, a balanced preliminary estimation of technical parameters of equipment needs to be carried out before investment quantification, especially on the large capital-intensive machinery units, such as harvesting systems. In addition, availability of ready to use, simplified models for the price estimation from input technical parameters would reduce the complexity involved in this latter analysis. The current study is an attempt to provide tools to address these issues. A large dataset of combine and forage harvesters has been analyzed to investigate relevant parameter-to-parameter and parameter-to-price relations. The study of the available data allowed the determination of indicative models for the estimation of machine price, power, weight, tank capacity and working width. A significant correlation between power and price ( R 2 > 0.8) has been observed for two groups of harvesting machines. For combine harvesters, satisfactory correlations were found between power and weight, and power and tank capacity. A regression model for combine harvesters showed a satisfactory behavior at predicting the average working width that can be operated by a given power. On the other hand, for the forage harvesting group, the relation between these quantities has lower values; therefore, for better accuracy of the association, more sophisticated considerations should be incorporated, taking into account other parameters.

Suggested Citation

  • Tatevik Yezekyan & Francesco Marinello & Giannantonio Armentano & Samuele Trestini & Luigi Sartori, 2020. "Modelling of Harvesting Machines’ Technical Parameters and Prices," Agriculture, MDPI, vol. 10(6), pages 1-12, June.
    • Handle: RePEc:gam:jagris:v:10:y:2020:i:6:p:194-:d:365695
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    References listed on IDEAS

    as
    1. Tatevik Yezekyan & Francesco Marinello & Giannantonio Armentano & Samuele Trestini & Luigi Sartori, 2018. "Definition of Reference Models for Power, Weight, Working Width, and Price for Seeding Machines," Agriculture, MDPI, vol. 8(12), pages 1-13, November.
    2. Cavallo, Eugenio & Ferrari, Ester & Bollani, Luigi & Coccia, Mario, 2014. "Attitudes and behaviour of adopters of technological innovations in agricultural tractors: A case study in Italian agricultural system," Agricultural Systems, Elsevier, vol. 130(C), pages 44-54.
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    Cited by:

    1. Tatevik Yezekyan & Marco Benetti & Giannantonio Armentano & Samuele Trestini & Luigi Sartori & Francesco Marinello, 2021. "Definition of Reference Models for Power, Mass, Working Width, and Price for Tillage Implements," Agriculture, MDPI, vol. 11(3), pages 1-15, February.
    2. Hadi Lalghorbani & Ali Jahan, 2022. "Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria," Sustainability, MDPI, vol. 14(3), pages 1-17, January.

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