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

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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)

  • 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

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.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:8:y:2018:i:12:p:186-:d:186343
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    References listed on IDEAS

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    1. Murray, J.R. & Tullberg, J.N. & Basnet, B.B., 2006. "Planters and their Components: Types, attributes, functional requirements, classification and description," Monographs, Australian Centre for International Agricultural Research, number 114069.
    2. Volodymyr Bulgakov & Simone Pascuzzi & Volodymyr Nadykto & Semjons Ivanovs, 2018. "A Mathematical Model of the Plane-Parallel Movement of an Asymmetric Machine-and-Tractor Aggregate," Agriculture, MDPI, vol. 8(10), pages 1-15, October.
    3. Brian Sims & Jennifer Heney, 2017. "Promoting Smallholder Adoption of Conservation Agriculture through Mechanization Services," Agriculture, MDPI, vol. 7(8), pages 1-22, July.
    4. Gass, Graham & Biggs, Stephen & Kelly, Aiden, 1997. "Stakeholders, science and decision making for poverty-focused rural mechanization research and development," World Development, Elsevier, vol. 25(1), pages 115-126, January.
    5. Brian Sims & Josef Kienzle, 2017. "Sustainable Agricultural Mechanization for Smallholders: What Is It and How Can We Implement It?," Agriculture, MDPI, vol. 7(6), pages 1-21, June.
    6. John J. Glen, 1987. "Feature Article—Mathematical Models in Farm Planning: A Survey," Operations Research, INFORMS, vol. 35(5), pages 641-666, October.
    7. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    8. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
    9. 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.
    10. Al-Mansour, F. & Jejcic, V., 2017. "A model calculation of the carbon footprint of agricultural products: The case of Slovenia," Energy, Elsevier, vol. 136(C), pages 7-15.
    11. Laura Vincent-Caboud & Joséphine Peigné & Marion Casagrande & Erin M. Silva, 2017. "Overview of Organic Cover Crop-Based No-Tillage Technique in Europe: Farmers’ Practices and Research Challenges," Agriculture, MDPI, vol. 7(5), pages 1-16, May.
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    1. 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.
    2. 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.
    3. Alessia Cogato & Andrea Pezzuolo & Claus Grøn Sørensen & Roberta De Bei & Marco Sozzi & Francesco Marinello, 2020. "A GIS-Based Multicriteria Index to Evaluate the Mechanisability Potential of Italian Vineyard Area," Land, MDPI, vol. 9(11), pages 1-17, November.

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