Computer-aided and predictive models for design of controlled release of pesticides

In the field of pesticide controlled release technology, a computer based model that can predict the delivery of the Active Ingredient (AI) from fabricated units is important for purposes of product design and marketing. A model for the release of an M from a microcapsule device is presented in this paper, together with a specific case study application to highlight its scope and significance.

The paper also addresses the need for predictive models and proposes a computer aided modelling framework for achieving it through the development and introduction of reliable and predictive constitutive models. A group-contribution based model for one of the constitutive variables (AI solubility in polymers) is presented together with examples of application and validation.