Advanced Search
MyIDEAS: Login

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

Contents:

Author Info

  • 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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa01/papers/full/6.pdf
Download Restriction: no

Bibliographic Info

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa01p6.

as in new window
Length:
Date of creation: Aug 2001
Date of revision:
Handle: RePEc:wiw:wiwrsa:ersa01p6

Contact details of provider:
Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

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).

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.