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Titlebook: Decision Support Systems for Weed Management; Guillermo R. Chantre,José L. González-Andújar Book 2020 Springer Nature Switzerland AG 2020

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Howard G. Birnbaum,Paul E. Greenbergowever, they have also jeopardized agroecosystem sustainability by causing negative alterations of social and environmental subsystems. The physicochemical properties of herbicides (volatility, adsorption, or water solubility) can make them persist in the soil, air, and water, changing the structure
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https://doi.org/10.1007/978-1-84628-819-7 techniques, to assess long-term effects and weed (dis)services. This chapter presents the mechanistic F.S. model, a “virtual field” simulating daily weed and crop growth and reproduction over the years, on which arable cropping systems can be experimented in temperate climates. The model inputs inc
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Dynamic Adaptive Policy Pathways (DAPP)to manage herbicide resistance (HR). Its success as a DSS for HR management is proven by the various adaptations of RIM to a range of weed species and/or cropping systems: Multispecies RIM for . and . in Australia, Wild Radish RIM for . in Australia, PIM for . in Spain, RIMPhil for . in the Philippi
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