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WeedML: A Tool for Collaborative Weed Demographic Modeling

Published online by Cambridge University Press:  20 January 2017

Niels Holst*
Affiliation:
Aarhus University, Faculty of Agricultural Sciences, Department of Integrated Pest Management, Flakkebjerg, 4200 Slagelse, Denmark
*
Corresponding author's E-mail: niels.holst@agrsci.dk

Abstract

WeedML is a proposed standard to formulate models of weed demography (or perhaps even complex models in general) that are both transparent and straightforward to reuse as building blocks for new models. The paper describes the design and thoughts behind WeedML which relies on XML and object-oriented systems development. Proof-of-concept software is provided as open-source C++ code and executables that can be downloaded freely.

Information

Type
Symposium
Copyright
Copyright © Weed Science Society of America 

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