
About
Dr. Afef Marzougui is a Researcher at ETH Zürich in the Department of Crop Sciences. Her work focuses on integrating remote sensing technologies and machine learning to advance crop phenotyping and disease resistance studies. She specializes in developing precision agriculture strategies for pest management and crop yield optimization.
Her research interests include crop science, plant disease resistance mechanisms, and the application of high-resolution satellite and proximal sensing techniques in agricultural phenomics. Notably, she has contributed to projects like the Global Wheat Full Semantic Organ Segmentation (GWFSS) Dataset and studies on Aphanomyces root rot resistance in legumes.
Her recent publications (2020–2025) emphasize interdisciplinary approaches combining computational methods with field data to address challenges in sustainable crop production. Key themes include disease impact modeling in livestock, multi-scale data fusion for yield estimation, and VOC-based biomarker identification for high-throughput disease detection.
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