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Two Approaches to Weed Control Decision-Aid Software

Published online by Cambridge University Press:  12 June 2017

David A. Mortensen  and
Harold D. Coble
David A. Mortensen
Affiliation:
Dep. Agron., Univ. Nebraska, Lincoln, NE 68583-0915
Harold D. Coble
Affiliation:
Dep. Crop Sci., North Carolina State Univ. Raleigh, NC 27695-7620
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Abstract

The number of computer applications for purposes of weed control decisions has increased dramatically in the past eight yr. During this time, many efficacy-, and population-based weed control decision aids have been developed. The complexity of decisions range from those based on optimal weed control (independent of net profitability) to those predicting weed population effects before most profitable treatments are selected. While the number of software applications has increased sharply, national software databases have not been funded and tracking has been made difficult. The purpose of this paper is to review the criteria upon which efficacy- and population-based weed control decision aids are founded, and to identify software currently available in each of the two categories.

Keywords

Weed management decision-aidspest management softwareeconomic thresholds

Information

Type
Education
Information
Weed Technology , Volume 5 , Issue 2 , June 1991 , pp. 445 - 452
Copyright
Copyright © 1991 Weed Science Society of America 

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