ConFruit: Effective Fruit Classification Using CNN Algorithm

ConFruit: Effective Fruit Classification Using CNN Algorithm

Fruit, Classification, Deep Learning, Convolutional Neural Network (CNN

Fruit is a type of food rich in nutrients, vitamins, and minerals, making it highly beneficial for daily consumption. However, the wide variety of available fruits can make it challenging for consumers to select and purchase the right ones. In recent years, numerous studies have explored fruit classification methods to address this issue. To contribute to this field, this study proposes a novel recommendation model based on fruit types to help buyers more easily identify and distinguish fruits. The dataset for this research was sourced from Kaggle, consisting of 3,000 fruit images. Through experiments, we demonstrated that our model, utilizing the CNN algorithm, achieved high accuracy in classifying fruits, enabling consumers to differentiate between various types effectively. The results showed improved accuracy and reduced losses compared to traditional fruit classification studies, highlighting the effectiveness of our approach

Rani Laple Satria Putra1, M. Hizbul Wathan2

https://ijicom.respati.ac.id/index.php/ijicom/article/view/44/44

August 2023

Fajar bagus W

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