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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
