Modelling of Harvesting Machines’ Technical Parameters and Prices

Tatevik Yezekyan, Francesco Marinello, Giannantonio Armentano, Samuele Trestini and Luigi Sartori
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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
Luigi Sartori: Department of Land, Environment, Agriculture and Forestry, University of Padova, Via dell’Università 16, 35020 Legnaro, Italy

Agriculture, 2020, vol. 10, issue 6, 1-12

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.

Keywords: cost modelling; harvesting operation; combine harvester; forage harvester; machinery price; farm management; decision support (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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