Multi-Modelling Approach to Support Decision Making in Crop Protection

Abstract

Abstract A more sustainable control of plant diseases is needed for the development of less intensive farming systems with reduced inputs of chemicals, including pesticides, and reduced use of natural resources. Integrated pest management (IPM) is currently the most effective method for sustainable disease control. IPM has higher complexity than conventional disease management and involves decision making at strategic, tactic, and operational levels, which is often challenging for farmers. Mathematical models are simplified representations of a crop system, which provide dynamic information about the crop status and can support decision making. In an IPM approach, plant disease models must be complemented with other models, such as models for crop growth and development, and models for fungicide dynamics. This case study describes the integration of mathematical models for plant disease, crop development, and plant protection products in a multi-modelling approach able to support multiple decision making in IPM. Downy mildew ( Plasmopara viticola) of grapevines ( Vitis ) is used as a successful story of multiple model combinations through a web-based decision support system. Information © The Author 2024