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1 July 2015 RIM: Anatomy of a Weed Management Decision Support System for Adaptation and Wider Application
Myrtille Lacoste, Stephen Powles
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Abstract

RIM, or “Ryegrass Integrated Management,” is a model-based software allowing users to conveniently test and compare the long-term performance and profitability of numerous ryegrass control options used in Australian cropping systems. As a user-friendly decision support system that can be used by farmers, advisers, and industry professionals, RIM can aid the delivery of key recommendations among the agricultural community for broadacre cropping systems threatened by herbicide resistance. This paper provides advanced users and future developers with the keys to modify the latest version of RIM in order to facilitate future updates, modifications, and adaptations to other situations. The various components of RIM are mapped and explained, and the key principles underlying the construction of the model are explained. The implementation of RIM into a Microsoft Excel® software format is also documented, with details on how user inputs are coded and parameterized. An overview of the biological, agronomic, and economic components of the model is provided, with emphasis on the ryegrass biological characteristics most critical for its effective management. The extreme variability of these parameters and the subsequent limits of RIM are discussed. The necessary compromises were achieved by emphasizing the primary end-use of the program as a decision support system for farmers and advisors.

Nomenclature: Annual rigid ryegrass, Lolium rigidum Gaud.

Weed Science Society of America
Myrtille Lacoste and Stephen Powles "RIM: Anatomy of a Weed Management Decision Support System for Adaptation and Wider Application," Weed Science 63(3), 676-689, (1 July 2015). https://doi.org/10.1614/WS-D-14-00163.1
Received: 20 October 2014; Accepted: 1 February 2015; Published: 1 July 2015
JOURNAL ARTICLE
14 PAGES


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KEYWORDS
Adoption
agriculture
bio-economic models
DSS
extension
Herbicide resistance
management simulation
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