Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data

We are pleased to announce the publication of a scientific article titled “Integrating Digital Agriculture into Higher Education: A Case Study of a Multidisciplinary Approach” in the journal Agriculture (MDPI), Volume 15, Issue 14, July 2025.

The publication highlights the work done within the TALLHEDA project, focusing on innovative strategies for embedding digital agriculture into university-level education. It presents a detailed case study that illustrates how a multidisciplinary, collaborative approach can effectively introduce digital tools and data-driven methodologies into agricultural curricula.

The article emphasizes key aspects of the TALLHEDA initiative, including:

• The development of digital modules for higher education.

• Integration of real-world agricultural datasets and platforms.

• Interdisciplinary collaboration between agricultural sciences, computer science, and data engineering.

• The importance of equipping future professionals with skills in digital technologies, remote sensing, precision farming, and data interpretation.

• 
  

This peer-reviewed publication marks a significant milestone for the TALLHEDA team, reinforcing the project's commitment to academic excellence, innovation, and capacity building in the agricultural sector.

📄 Read the full article here:https://www.mdpi.com/2077-0472/15/14/1534