Analysis of cost and performances of agricultural machinery: reference model for sprayers

Yezekyan, Tatevik; Marinello, Francesco; Armentano, Giannantonio; Sartori, Luigi

doi:10.15159/ar.18.049

Cited by 6 publications

(1 citation statement)

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“…Slightly lower values could be recognized between weight and power (R 2 = 0.67), and between price and weight (R 2 = 0.65), as reported in Table 3. Compared to previously published linear regression analyses performed on seeding machines [34] and sprayers [35], combine harvesters models have, in general, a higher correlation between performance related parameters. This can be probably explained as a consequence of the lower number of companies that compete in the market: such a condition most probably reduces competitiveness and increases homogenization of performances and constructive principles.…”

Section: Combine Harvestersmentioning

confidence: 67%

Modelling of Harvesting Machines’ Technical Parameters and Prices

Yezekyan

Marinello

Armentano³

et al. 2020

Agriculture

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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 (R2 > 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.

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Section: Combine Harvestersmentioning

confidence: 67%