The testing **data** including 5 dimension features of 30 grains (15 bread wheat grains and 15 durum wheat grains) and their testing results are tabulated in Table 2 to further inspect the **data** and results. While the number of "2" is assigned to specify bread grains, "1" is appointed to define the durum grains as targets of the ANN-ABC model. The ANN-ABC model proposed in this study accurately classifies 19 grains with 0 (zero) and 11 grains with very small absolute errors. Therefore, it classifies the total grains of 30 with a negligible MAE of 0.0034 and with 100% accuracy. It demonstrates that the proposed IPT based ANN-ABC model can be successfully utilized to classify the wheat grain varieties in an automatic manner.  