Fig 1.
The flow chart of the study.
Fig 2.
Microwave dielectric spectroscopy setup based on perturbed cavity resonator.
Fig 3.
Microwave resonance curves.
Fig 4.
The correlation coefficient results of M(Ψ) and moisture content and on the radarmap of the artificial intelligence models.
(A) Wheat, (B) Chickpea.
Table 1.
The MAPE, RMSE, and MAE mean and standart deviation results of the artificial intelligence models.
Fig 5.
Model equations, correlation coefficients and scatter plots, and of the best models for moisture content.
(A) Chickpea 5NN, (B) Wheat 5NN, (C) Chickpea BAG, (D) Wheat BAG, (E) Chickpea REPTree, (F) Wheat REPTree.
Fig 6.
Classification accuracy results for artificial intelligence models.
Table 2.
The performance metrics and confusion matrix for wheat and chickpea.
Fig 7.
Mean performance metrics of classification for themodel.