IDEAS home Printed from https://ideas.repec.org/p/ags/unasrr/323938.html
   My bibliography  Save this paper

Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields

Author

Listed:
  • McCormick, M. Denice
  • Birkett, Thomas R.

Abstract

The National Agricultural Statistics Service conducts surveys, during the growing season, to collect plant counts and measurements for forecasting yields of major agricultural crops such as corn, cotton, soybeans and wheat. Plot level data are aggregated to the regional (multi-state) level and used to build regression forecast models. In order to improve the accuracy of August 1 and September 1 yield forecasts, a cumulative precipitation term, indicating total precipitation from April 1 until the forecast date, was added to the models at a regional six-state level. This additional data was believed to contain information which would be helpful in crop yield forecasting. The analysis indicated that the accuracy of the regional soybean yield forecasts was not improved using this precipitation term. Additional analysis is recommended to evaluate the impact of different precipitation terms on soybean yield forecasts at the regional and state levels, and to evaluate the use of precipitation data in forecasting crop yields for corn, cotton and wheat.

Suggested Citation

  • McCormick, M. Denice & Birkett, Thomas R., 1992. "Evaluating the Addition of Weather Data to Survey Data to Forecast Soybean Yields," NASS Research Reports 323938, United States Department of Agriculture, National Agricultural Statistics Service.
  • Handle: RePEc:ags:unasrr:323938
    DOI: 10.22004/ag.econ.323938
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/323938/files/SRB-92-11.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.323938?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sebaugh, Jeanne L., 1981. "One, Two, and Three Line Segment "Straw Man" Models: Soybean Yields in Iowa, Illinois, and Indiana," Staff Reports 321270, United States Department of Agriculture, Economic Research Service.
    2. House, Carol C., 1977. "A Within-Year Growth Model Approach to Forecasting Corn Yields," Economics Statistics and Cooperative Services (ESCS) Reports 329250, United States Department of Agriculture, Economic Research Service.
    3. Kestle, Richard A., 1981. "Analysis of Crop Yield Trends and Development of Simple Corn and Soybean "Straw Man" Models for Indiana, Illinois, and Iowa," Staff Reports 321251, United States Department of Agriculture, Economic Research Service.
    4. Sebaugh, Jeanne L., 1981. "Evaluation of "Straw Man" Model 1, the Simple Linear Model, for Soybean Yields in Iowa, Illinois and Indiana," Staff Reports 321192, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sebaugh, Jeanne L., 1981. "One, Two, and Three Line Segment "Straw Man" Models: Soybean Yields in Iowa, Illinois, and Indiana," Staff Reports 321270, United States Department of Agriculture, Economic Research Service.
    2. Sebaugh, Jeanne L., 1981. "Evaluation of "Straw Man" Model 1, the Simple Linear Model, for Soybean Yields in Iowa, Illinois and Indiana," Staff Reports 321192, United States Department of Agriculture, Economic Research Service.

    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:ags:unasrr:323938. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.nass.usda.gov/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.