IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa01p6.html
   My bibliography  Save this paper

A Neural Network Approach to a Spatial Production System case for milk production

Author

Listed:
  • Tomaz Ponce Dentinho

    ()

  • João Coelho dos Reis

    ()

Abstract

The usual conceptualisation of farmer production system involves three interrelated production systems: a feed production function which inputs are fertiliser, land, weather machinery and labour; a cattle production function based cows, feed - bought or produced - machinery and labour and a conversion production system that generates milk and beef. The aim of this paper is to conceptualise the spatial farm production system in only one system using a neural network's mechanism with the whole set of inputs (fertiliser, land, weather, feed, cows, machinery and labour) and with only one output, milk. We review the concept of agricultural production systems. We systematise some models of agricultural systems. We calibrate a neural network model to the milk production in Terceira Island.

Suggested Citation

  • Tomaz Ponce Dentinho & João Coelho dos Reis, 2001. "A Neural Network Approach to a Spatial Production System case for milk production," ERSA conference papers ersa01p6, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa01p6
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa01/papers/full/6.pdf
    Download Restriction: no

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa01p6. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.