Real-time nondestructive monitoring of Common Carp Fish freshness using robust vision-based intelligent modeling approaches

•Intelligent evaluation of Common Carp Fish freshness using color image processing.•Selection the optimum features by a hybrid ABC-ANN algorithm.•Application of SVM, KNN and ANNs, as classifiers.•Classification accuracy of freshness detection using ANNs was up to 93%.•Reliable, fast, nondestructive technique to real-time freshness monitoring of Common Carp.