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Showing 1 to 1 of 1 for “"Hyperspectral imaging reconstruction"”.

  1. Deep learning applications in hyperspectral imaging for agriculture: image reconstruction and model design for quality prediction

    Non-invasive techniques, such as hyperspectral imaging (HSI), are crucial for analyzing the detailed chemical and structural composition of agricultural products. By capturing both spectral and spatial information simultaneously, HSI enables advanced analysis of key quality attributes in …

    uiuc Repository record for Deep learning applications in hyperspectral imaging for agriculture: image reconstruction and model design for quality prediction (opens in a new tab)