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Agricultural data prediction by means of neural network

Author

Listed:
  • Jiří ŠŤASTNÝ

    (Department of Computer Science, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic)

  • Vladimír KONEČNÝ

    (Department of Computer Science, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic)

  • Oldřich TRENZ

    (Department of Computer Science, Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic)

Abstract

The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach with several non-linear regression models, the usefulness of which has been tested and published several times in the specialized periodicals. The main stress is placed on judging the accuracy of the individual methods and of the implementation. A neural network simulation device is that which enables the user to set an adequate configuration of the neural network vis á vis the required task. The conclusions can be generalized for other tasks of a similar nature, especially for the tasks of a non-linear character, where the benefits of this method increase.

Suggested Citation

  • Jiří ŠŤASTNÝ & Vladimír KONEČNÝ & Oldřich TRENZ, 2011. "Agricultural data prediction by means of neural network," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 57(7), pages 356-361.
    • Handle: RePEc:caa:jnlage:v:57:y:2011:i:7:id:108-2011-agricecon
    DOI: 10.17221/108/2011-AGRICECON
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    References listed on IDEAS

    as
    1. E. Svoboda, 2007. "Knowledge-management in managerial work of business management," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 53(7), pages 298-303.
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    Cited by:

    1. Suitberto CABRERA GARCÍA & Josué E. IMBERT TAMAYO & Jorge CARBONELL-OLIVARES & Yaylin PACHECO CABRERA, 2013. "Application of the Game Theory with Perfect Information to an agricultural company," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(1), pages 1-7.

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