A global team of researchers led by ETH Zurich, ICARDA, and CIMMYT has released the Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset — a major open-access resource for improving computer vision in crop phenotyping. The dataset includes over 50,000 RGB images of wheat fields from 11 institutions across five continents, enabling the development of AI models for organ-level segmentation (leaves, stems, spikes) to support wheat breeding and agroecological research in diverse environments.
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