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Expert System Evaluation and Implementation for Soybean (Glycine max) Weed Management

Published online by Cambridge University Press:  12 June 2017

C. Dale Monks ,
David C. Bridges ,
John W. Woodruff ,
Tim R. Murphy  and
Daniel J. Berry
C. Dale Monks
Affiliation:
Agron., Soils Dep., Auburn Univ., Auburn, AL 36849
David C. Bridges
Affiliation:
Dep. Agron., Univ. Georgia, Griffin, GA 30223
John W. Woodruff
Affiliation:
Coop. Ext. Serv., Tifton, GA 31993
Tim R. Murphy
Affiliation:
Coop. Ext. Serv., Tifton, GA 31993
Daniel J. Berry
Affiliation:
Dep. Agron., Griffin, GA 30223
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Abstract

HERB, a computer-based expert system for soybean weed management developed at North Carolina State University, was evaluated for managing weeds under Georgia conditions. The project was initiated in two phases: a) training Cooperative Extension county agents followed by evaluation in six Georgia counties and b) revision, licensing, and distribution across the state. Field evaluations indicated that HERB was not highly accurate for predicting final yield loss because of weed species senescence and environmental extremes later in the growing season. HERB generally provided a reasonable prediction for a positive economic return due to treatment approximately 60% of the time. Accuracy was directly dependent upon the accuracy of weed-free yield estimates and extremes in growing conditions. HERB should not be the sole source of weed management information but may be useful to producers and county agents where mixed or low populations of weeds exist. The program was distributed statewide in 1993 after revision, duplication, and training was completed.

Keywords

Soybean, Glycine max (L.) Merr.Competitioncomputer programdecision making

Information

Type
Research
Information
Weed Technology , Volume 9 , Issue 3 , September 1995 , pp. 535 - 540
Copyright
Copyright © 1995 by the Weed Science Society of America 

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