RIM: a bioeconomic model for integrated weed management of Lolium rigidum in Western Australia

By D. Pannell, Vanessa A. Stewart, A. Bennett, Marta Monjardino, C. Schmidt, Stephen Powles. 2004

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Reducing the Risks of Herbicide Resistance: Best Management Practices and Recommendations (2012, background): “The effectiveness of grazing for weed control depends on pasture type, duration of grazing, preferences by grazing animals, and numbers of grazing animals (grazing intensity)(Lacey and Sheley 1996; Olson and Wallander 1998; Pannell et al. 2004).”
Economic performance of the ‘push–pull’ technology for stemborer and Striga control in smallholder farming systems in western Kenya (2008, methodology): “Therefore, to compare the profitability of PPT relative to that of maize monocrop (MC) and maize–bean intercrop (MB), the net present values (NPV) (Pannell et al., 2004)—the sum of the discounted stream of net benefits/returns—generated by the three systems were calculated using equations: NPVðPPTÞ…”
Herbicide-Resistant Weeds: Management Tactics and Practices1 (2006, background): “The most advanced DSS to date is the RIM (resistance and integrated management) model developed for IWM of single or multiple species in Australia (Monjardino et al. 2003; Pannell et al. 2004).”