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Collaborative project: Knowledge-based site-specific analysis for environmentally sustainable weed management in integrated crop production - subproject C (BETTER-WEEDS)

Project


Project code: 28DK123C20
Contract period: 20.04.2021 - 19.10.2024
Budget: 164,203 Euro
Purpose of research: Applied research
Keywords: integrated plant protection, crop production, agricultural engineering, weed, data management, digital world, crop production, resource protection, resource efficiency, AI Artificial Intelligence

Herbicide application is currently the most-widely used method to control weeds in conventionally managed arable systems. Against the background of negative impacts of chemical plant protection and an ongoing loss of arable weed diversity, there is a pressing need to develop innovative, environmental-friendly methods for weed control. To achieve this, the greatest challenge is creating a balance between an economically viable level of weed control and increasing political and social demands for a more biodiversity-friendly weed management on arable lands. To achieve this goal a) time- and cost-efficient tools for weed detection must be available, b) information on site-specific occurrence of weeds must be provided, and c) management strategies need to be derived from this site-specific weed maps. The aim of the project is to develop a framework for sustainable weed management using autonomous weed detection, AI-based identification of the weed species, and geo-referenced weed distribution maps taking site-specific characteristics of the individual field into account. Based on these maps, management strategies for weed control on the respective fields will be developed and tested under field conditions. These management strategies will be focused on maintaining desirable species with high value for the agro-ecosystem and, at the same time, providing sufficient control of undesirable, highly competitive species.

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