Advanced Search
MyIDEAS: Login to save this article or follow this journal

A systematic representation of crop rotations

Contents:

Author Info

  • Castellazzi, M.S.
  • Wood, G.A.
  • Burgess, P.J.
  • Morris, J.
  • Conrad, K.F.
  • Perry, J.N.
Registered author(s):

    Abstract

    Crop rotations are allocations by growers of crop types to specific fields through time. This paper aims at presenting (i) a systematic and rigorous mathematical representation of crops rotations; and (ii) a concise mathematical framework to model crop rotations, which is useable on landscape scale modelling of agronomical practices. Rotations can be defined as temporal arrangements of crops and can be classified systematically according to their internal variability and cyclical pattern. Crop sequences in a rotation can be quantified as a transition matrix, with the Markovian property that the allocation in a given year depends on the crop allocated in the previous year. Such transition matrices can represent stochastic processes and thus facilitate modelling uncertainty in rotations, and forecasting of the long-term proportions of each crop in a rotation, such as changes in climate or economics. The matrices also permit modelling transitions between rotations due to external variables. Computer software was developed that incorporates these techniques and was used to simulate landscape scale agronomic processes over decadal periods.

    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.sciencedirect.com/science/article/B6T3W-4RD44FJ-1/1/4a100bd8a7b12db8006da99177fbb7a0
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 97 (2008)
    Issue (Month): 1-2 (April)
    Pages: 26-33

    as in new window
    Handle: RePEc:eee:agisys:v:97:y:2008:i:1-2:p:26-33

    Contact details of provider:
    Web page: http://www.elsevier.com/locate/agsy

    Related research

    Keywords:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Matthews, K.B. & Buchan, K. & Sibbald, A.R. & Craw, S., 2006. "Combining deliberative and computer-based methods for multi-objective land-use planning," Agricultural Systems, Elsevier, Elsevier, vol. 87(1), pages 18-37, January.
    2. Haneveld, W. K. Klein & Stegeman, A. W., 2005. "Crop succession requirements in agricultural production planning," European Journal of Operational Research, Elsevier, Elsevier, vol. 166(2), pages 406-429, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Moreau, Pierre & Ruiz, Laurent & Vertès, Françoise & Baratte, Christine & Delaby, Luc & Faverdin, Philippe & Gascuel-Odoux, Chantal & Piquemal, Benoit & Ramat, Eric & Salmon-Monviola, Jordy & Durand, 2013. "CASIMOD’N: An agro-hydrological distributed model of catchment-scale nitrogen dynamics integrating farming system decisions," Agricultural Systems, Elsevier, Elsevier, vol. 118(C), pages 41-51.
    2. Salassi, Michael E. & Deliberto, Michael A. & Guidry, Kurt M., 2013. "Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States," Agricultural Systems, Elsevier, Elsevier, vol. 118(C), pages 33-40.
    3. Aurbacher, Joachim & Dabbert, Stephan, 2011. "Generating crop sequences in land-use models using maximum entropy and Markov chains," Agricultural Systems, Elsevier, Elsevier, vol. 104(6), pages 470-479, July.
    4. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    5. Martin Schönhart & Erwin Schmid & Uwe A. Schneider, 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Working Papers 452009, Institute for Sustainable Economic Development, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Vienna.

    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:eee:agisys:v:97:y:2008:i:1-2:p:26-33. 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: (Zhang, Lei).

    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.