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Yulin Zhang is a postdoctoral researcher in the Department of Agroecology at Aarhus University, Denmark. He received his PhD in Agronomic Sciences from Institut Agro Montpellier in France. His current research focuses on process-based modeling of perennial grain crops and the integration of multi-sensor data modeling. With expertise in Digital Agronomy and Inverse Modeling, he has developed skills in Data Sciences. Over the past five years, he has engaged in various collaborations and projects aimed at enhancing agricultural resilience through advanced modeling techniques. One of his active projects includes 'DeepWater', which focuses on digital twinning of perennial traits for resilient agriculture and involves multiple stakeholders.
Aarhus University • Tjele, Denmark
Research on process-based modeling of perennial grain crops and multi-sensor data integration.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.