FORECASTING CROP QUALITY

G.J. Ryland

Review of Marketing and Agricultural Economics, 1975, vol. 43, issue 02, 16

Abstract: The need for a forecasting system of biological quality arises as a result of the price-quality payment schemes in grower and processor contracts which operate in many agricultural cropping industries. The seasonal nature of the series of vertical quality height gives rise to questions as to the repetitive pattern of the shape and trend translation of the series. These hypotheses can be tested using conventional statistical methods. For non-stationary series, however, a Box-Jenkins type dynamic seasonal model is proposed. These forecasting procedures are applied to a series of sugar cane quality.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 1975
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://ageconsearch.umn.edu/record/9159/files/43020088.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:remaae:9159

DOI: 10.22004/ag.econ.9159

Access Statistics for this article

More articles in Review of Marketing and Agricultural Economics from Australian Agricultural and Resource Economics Society Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().