Author : Aditi Pathare 1
Date of Publication :31st December 2021
Abstract: The following paper presents a system that differen- tiates between three fruit types - apple, banana, and orange. The system identifies the rotten ones from the fresh ones. The algo- rithms that are implemented and studied are CNN (Convolutional Neural Network), SVM (Support Vector Machine), and KNN (K-Nearest Neighbor). In the observations, the KNN and SVM give accuracy up to 80%, whereas the highest fruit recognition accuracy achieved is through the CNN algorithm, which is accurate up to 95%. The developed method of recognizing fresh fruits from rotten through algorithms is an advantage over the current available traditional classification in the market - manual sorting, which has less rate for identifying fruit. With the use of this system in the food industry, these algorithms could be highly beneficial to recognize various things in different areas. The study of this paper also describes the meaning and use of all three mentioned algorithms.
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