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Image-based machine learning models for customized soil moisture management

Fig 5

Input and processing of soil images.

The original soil image on the left is converted into a three-channel RGB matrix. This process uses IMRED to decompose pixel values into red, green, and blue channels. The resulting matrix is input data for feature learning in deep learning models.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0341904.g005