Systematic Literature Review on the Application of Convolutional Neural Networks for Rambutan Fruit Classification: Advances, Challenges, and Future Directions
DOI:
https://doi.org/10.56313/jictas.v3i2.393Keywords:
Rambutan, Convolutional Neural Network (CNN), Deep Learning, Fruit Classification, Systematic Literature ReviewAbstract
Abstract
The rambutan fruit (Schleichera oleosa) is a tropical plant belonging to the Sapindaceae family, commonly found in Southeast Asia, including Indonesia. The fruit has a hard outer shell that turns dark brown when ripe, with white or yellowish flesh inside, which contains oil with a variety of beneficial properties. In some regions, the rambutan fruit is consumed as food, while its seeds are extracted for oil, which is widely used in the cosmetic and pharmaceutical industries. The fruit is rich in nutrients, including fats, proteins, carbohydrates, as well as various vitamins and minerals. The oil derived from its seeds is known to have antioxidant, anti-inflammatory, and antibacterial properties, making it valuable in traditional medicine. Furthermore, research suggests that this plant has significant potential for development in agribusiness and health sectors. Despite limited scientific literature on the rambutan fruit’s full potential, its presence indicates a promising outlook, especially in the development of food, cosmetic, and pharmaceutical products. Future studies are needed to explore its deeper benefits for economic and public health purposes.
Keywords: Convolutional Neural Networks, Classification, Rambutan Fruit.
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