Multimodal deep learning predicts alfalfa yield and crude protein content via structured-unstructured data fusion from UAV
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https://ieee-dataport.org/documents/multimodal-deep-learning-predicts-alfalfa-yield-and-crude-protein-content-structured-0
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Accurate estimation of yield and crude protein (CP) content of alfalfa is crucial for breeding programs through cultivar screening and trait identification. Although recent studies have begun integrating multi-sensor data from unmanned aerial vehicles (UAVs), they typically rely on hand-crafted features and do not fully leverage the spatial information of the canopy.
提供机构：
Xiaopeng Li
