The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia.

Spectral features and AUCs having at least a highly significant correlation (r > 0.8; r < − 0.8; p ≤ 0.05) with DI norm , AUDPC, and yield, respectively, were selected to assess the prediction potential of RS derivates based on a linear regression model, expressed through the adjusted coefficient of determination (R 2 adj ) as corrected goodness-of-fit and the root mean square error (RMSE) as model quality measures.

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