Economics of Management Zone Delineation in Cotton Precision Agriculture
Margarita Velandia,
Roderick Rejesus,
Eduardo Segarra () and
Kevin Bronson
No 35387, 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida from Southern Agricultural Economics Association
Abstract:
This paper develops a management zone delineation procedure based on a spatial statistics approach and evaluates its economic impact for the case of Texas cotton production. With the use of an optimization model that utilizes a yield response function estimated through spatial econometric methods, we found that applying variable N rates based on the management zones delineated would result in higher cotton yields and higher net returns, above Nitrogen cost, relative to uniformly applying a single N rate for the whole field. In addition, a variable rate N application using the delineated management zones produced higher net returns, above Nitrogen cost, relative to a variable N rate system where the zones are based solely on landscape position. This is indicative of the potential economic value of using a spatial statistics approach to management zone delineation.
Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Pages: 22
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/35387/files/sp06ve01.pdf (application/pdf)
Related works:
Working Paper: Economics of Management Zone Delineation in Cotton Precision Agriculture (2006) 
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:saeaso:35387
DOI: 10.22004/ag.econ.35387
Access Statistics for this paper
More papers in 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida from Southern Agricultural Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().