Review on ANN based Techniques for Vegetables Quality Detection

Artificial neural networks (ANN) moderator classification as one of the mainly dynamic research and application areas. ANN is the branch of Artificial Intelligence (AI). The neural network was trained with back propagation algorithm. The dissimilar combinations of functions and its effect as by ANN as a classifier is studied and the precision of these functions are analyzed for different kinds of datasets. The excellence of fruits as well as vegetables can be determined impartially by measuring the physical and/or chemical components related to the attribute. Texture/ firmness, taste, flavour with smell, as well as nutritional quality can be estimated by destructive method with some can be estimated by non-destructive methods. Several of the non-destructive methods, whilst employ optical, nuclear magnetic resonant, vibrational, gas analysis techniques and electrical have the potential for industrial application. The quality or fresh fruits as well as vegetables are generally based on the chemical composition or physical characteristics or a mixture of these two factors.