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Collaborative project: Development of an intelligent UAV-assisted weed monitoring system for selective and site-specific herbicide application - subproject C (weed-AI-seek)

Project


Project code: 28DK105C20
Contract period: 28.05.2021 - 27.05.2024
Budget: 132,487 Euro
Purpose of research: Applied research
Keywords: digital world, weed, precision farming, wheat, AI Artificial Intelligence, crop production, crop protection, plant health, remote sensing, sensor technology, sustainability

The weed-AI-seek project has the goal of developing an intelligent real-time monitoring and mapping system for the detection of weed distribution in cereal crops. For this purpose, high-resolution aerial image data will be acquired at low altitudes and classified directly on the drone using optimized onboard AI image recognition during the flight over the target crops. The planned system will not simply differentiate between crop plants and weeds, but will enable the exact identification of the plant species of each individual plant as well as its position on a crop site. Until now, it is indeed possible to determine a certain part of the information, e.g. the relation between the degree of coverage of crop plants and weed population, but a robust identification of individual weed species based on AI approaches has not yet been applied in practice. This enables spatially differentiated and timely information on competitive situations caused by weed spread in an area to be obtained, which enables the targeted adaptation of weed defense strategies and reduces the use of plant protection products (PPP).

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Excutive institution

CiS GmbH

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