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The main advanced search of IPSIM is to be able to tackle a high level of complexity within agroecosystems in a simple manner. Desire to embrace this level of complexity leads to compromise. As well, it is considered useful to prefer the accuracy, rather than the precision for the variables predicted.

The originalities which arise are of several orders:
- The time scale does not encompass the entire cropping system, but nevertheless the preceding and pre-preceding are considered and allow to integrate properly for the wheat pests the influence of the history of the parcel.
- The space scale  exceeds the field in order to apprehend the levels supra-field by considering the proportion of wheat in the regional crop rotation  as well as the proportion of "Area of Ecological Compensation" in the landscape. The formalism chosen is spatially non-explicit.
- The horizontal dimension of IPM has been integrated in this work because we have taken into account a set of pests in interaction; similarly, the vertical dimension of IPM, as the combination of a set of practices, is at the heart of the modeling approach. One of the major innovations is therefore to take into account these two integrations, in analysing the existing interactions in an agroecosystem, not only within the community of pests and between the different farming practices, but also between the practices combined, the soil and weather, the landscape and the injury profile.
- A major innovation is to propose a typology of the damage by a simple line but relevant to the management of pests: the level of endocyclism.

This can degrade the specific information on the pests but allows to have a transversal approach, more relevant in the context of a global management of a set of pests in interaction. The diagnosis and the level of intervention on which carry the work of the farmer is then very quickly readable. This approach could also, by its generic nature, contribute to provide information on the level of endocyclism of the whole cropping system, thus allowing transversal analyses.