Project

DiPredict - AI-based optimization of selection under drought stress in wheat breeding

Title: DiPredict - AI-based optimization of selection under drought stress in wheat breeding

Description: As part of the project, the sensor-based evaluation of drought stress tolerance for wheat is to be optimized and made high-throughput. The Anhalt University of Applied Sciences is researching and developing Kl-based methods for
reliable sensor-based detection of drought stress under field conditions using a DLG test facility for subsurface irrigation at the Bernburg-Strenzfeld site.

Funding period: 01.01.2025 - 31.12.2027

Funding body: European Union & State of Saxony-Anhalt

Funding program: EFRE

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