N. Evans's scientific contributions

Citations

... DSS for optimizing herbicide use are estimating the need for weed control, where the necessary efficacy depends on field-specific weed population with each weed species causing a certain magnitude of yield loss ( Sønderskov et al., 2015), with recommendations often being optimized on the basis of net return (Bennett et al., 2003;Berti et al., 2003). However, DSS are still not broadly adopted and used by farmers ( Berti et al., 2003;Swanton et al., 2008), even though some DSS could reduce herbicide inputs significantly ( Rydahl et al., 2009). Reasons for this non-use are, for example the relatively low cost of routine herbicide treatments ( Rydahl et al., 2009), the additional costs for weed monitoring and DSS being unable to give information about 'when to treat' as this can be provided only if the daily weed density is known (Masin et al., 2011). ...
... In these countries, the validation tests have showed that the recommendations were robust (Sønderskov et al. 2015). However, the potential of herbicide reductions varies between countries and depends on the weed species present in the fields and also on management decisions (Been et al. 2010). Furthermore, an ongoing project develops CPOWeeds for control in maize in Germany, Italy and Slovenia with a module for mechanical measures included . ...