Innovative Use of Hyperspectral Data and DCGANs Enhances Rice Protein Content Estimation

A research team used hyperspectral data and deep convolution generative adversarial networks (DCGANs) to improve the accuracy of rice grain protein content (GPC) estimation. By generating simulated data, they enhanced the model’s performance, achieving an R² of 0.58 and RRMSE of 6.70%. 

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