Definition of Reference Models for Power, Weight, Working Width, and Price for Seeding Machines

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, 2018, vol. 8, issue 12, 1-13

Abstract: Machine functional parameters define fleet composition and management and, thus, play an important role in economic and environmental performance. Large availability of programming methods and decision support systems are available in the market, however, there is still a lack of applicative tools to forecast the perceived and necessary technical parameters and machinery price options to complete tasks. In the current research, most correlated functional parameters for four group of seeding machines were determined with the application of linear and multiple linear regression analyses. Power, weight, working width, number of rows, and list price were studied, and reference equations were developed for seed drills, precision, combined and no-tillage planters. Two statistical analyses models were, therefore, developed for each of the groups in order to allow evaluation and prediction of performance and cost, thus contributing to the selection process optimisation and perceived choice of the needed implement.

Keywords: seeding machine; functional parameter; operation research; modelling; linear programming; fleet management (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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