About the project

In light of the increasing consequences of climate change, including severe droughts that threaten global food security, our project focuses on Norwegian wheat to ensure stable and sustainable agricultural practices. Using polytunnel simulations, we investigate the effects of drought on wheat, with a particular focus on the role of root architecture in adapting to drought conditions.

Our innovative approach includes the use of UAVs and robotic platforms for precise phenotyping, as well as the application of artificial intelligence for data analysis, which surpasses the limitations of traditional plant breeding.

This interdisciplinary work combines genomics, environmental science, and advanced artificial intelligence to develop an innovative framework for studying crop resilience. A key element of the project is the development of digital twins for wheat crops, which integrate real-time data to simulate the interaction between genetics, environmental conditions, and management practices. This enables precision breeding and cultivation.

The project is also a pioneer in explainable artificial intelligence in plant breeding, which improves the predictability and transparency of the model. Through active collaboration with farmers and stakeholders, the project aims to democratize access to its findings, ensure broad application, and support sustainable food production.

NMBU participants

External participants

Wageningen University
Graminor AS
Aersea AS
Felleskjøpet
Telia Norge As