AI and 3D imaging unlock the hidden architecture of rice plants
Accurate measurement of traits such as grain number, leaf size and stem thickness is essential for breeding higher-yielding and more resilient rice varieties. Rice grains are small and densely packed, often hidden behind overlapping leaves, which makes traditional measurement slow, destructive or inaccurate. Researchers have developed an AI-powered approach that reconstructs detailed three-dimensional models of rice plants.
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