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. 2020 Dec 14;11:590529. doi: 10.3389/fpls.2020.590529

FIGURE 1.

FIGURE 1

Flowchart of the statistical and ML techniques for the detection of charcoal rot disease. (A) Data set creation. (B) Feature selection and design. (C) ML models train and test.