Detection of Sardine Fish Freshness Using Deep Convolution Neural Network

Abstract

Fresh Fish food processing is the most important factorin the food production industry. Fish freshness is the main indicator for assessing the quality of fish which is essential for commercial purposes. Mostly the consumerswish to buy and eat freshly caught fish but in reality the local markets showcase and sell two-week-older fishes thatare collected from the seas. To concern the health offish consumers, one must ensure the quality of the fish before consuming it. Therefore, we have used a deep learning technique to increase the accuracy in detecting the freshness of the sardine fish. In our proposed system, Deep Convolution Neural Network is used to extract the features and detectthe qualityof the fish. On experimental analysis, we obtained a remarkable result in terms of accuracy, sensitivity, specificity, Positive Predictive Value(PPV),Negative Predictive Value(NPV) and f1-score.