Personalized Natural Fruit Prescription System: Considerations and Methodologies

Abstract

In recent years, natural fruit prescription has gained popularity due to the growing interest in natural and organic foods. This trend led to increased demand for data on the nutritional and medicinal properties of fruits. Existing sources on fruits are often incomplete, and difficult to retrieve. Thus, hinders effective decisions to natural fruit prescription. Our study uses the generative adversarial network k-means cluster to develop a fruit ontology-based semantic retrieval system for natural fruit prescription. In the context of fruit ontology, it generated new fruit images or natural language text descriptions from existing ontology. Results confirmed system successfully implemented the fruit ontology semantic retrieval and delivers intelligent recommendations based on user-defined criteria. Thus, contributes to natural fruit prescriptions.