The quality of visual fruit recognition PoC was improved by adding texture and RGB color space features information to the feature vector.
Same as in our previous experiment, we took the neural network as a classifier. The network learns with error of 0.155. The results are given below:
In general, the quality of recognition was increased in 0.112%.