The Value of Pest Information in a Dynamic Setting: The Case of Weed Control
Scott Swinton and
Robert King
American Journal of Agricultural Economics, 1994, vol. 76, issue 1, 36-46
Abstract:
The value of weed scouting information for soil-applied and post-emergence weed management is estimated using a dynamic, whole-farm, stochastic simulation model. The model simulates outcomes of four expected utility functions from management strategies using three levels of weed information. Results from a representative Minnesota corn and soybean farm indicate high value of weed seedling counts (for post-emergence control) but relatively low value of weed seed counts (for soil-applied control). While herbicide use is often reduced under information based management, this is not always the case.
Date: 1994
References: Add references at CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.2307/1243918 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
Working Paper: The Value of Pest Information in a Dynamic Setting: The Case of Weed Control (1992) 
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:oup:ajagec:v:76:y:1994:i:1:p:36-46.
Access Statistics for this article
American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu
More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().