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WeedSOFT®: a weed management decision support system

Published online by Cambridge University Press:  20 January 2017

Christophe Neeser
Affiliation:
Crop Diversification Centre, South SS4, Brooks, Alberta, Canada
J. Anita Dille
Affiliation:
Department of Agronomy, Kansas State University, Manhattan, KS 66506-5501
Gopal Krishnan
Affiliation:
Pioneer Hi-Bred Inc., Johnstown, IA 50131-0552
David A. Mortensen
Affiliation:
Department of Crop and Soil Sciences, Penn State University, University Park, PA 16802
Jeffery T. Rawlinson
Affiliation:
Nebraska Game and Parks Commission, 2200 North 33rd, Lincoln, NE 68503
Lynn B. Bills
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68583

Abstract

WeedSOFT® is a decision support system that was developed to help farmers and consultants in Nebraska with the selection of optimal weed management strategies. WeedSOFT® evolved from HERB, a bioeconomic model for soybean that was developed in North Carolina. The program is composed of four independent modules, namely, ADVISOR, EnviroFX, MapVIEW, and WeedVIEW. ADVISOR helps the user select a treatment based on maximum yield or maximum net gain. EnviroFX and MapVIEW provide environmentally relevant herbicide information and county soil maps that indicate vulnerability to groundwater contamination. WeedVIEW is a visual library of color images and line drawings of 46 common weed species. Over 500 farmers and consultants in Nebraska and adjacent states use WeedSOFT®. As a result of the current regionalization effort, the user base is expected to increase rapidly during the next 2 or 3 yr. This article explains the algorithms implemented in the current version of WeedSOFT®.

Information

Type
Weed Management
Copyright
Copyright © Weed Science Society of America 

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