Leveraging K-Nearest Neighbors for Enhanced Fruit Classification and Quality Assessment

Leveraging K-Nearest Neighbors for Enhanced Fruit Classification and Quality Assessment

This study investigates the application of the K-Nearest Neighbors (KNN) algorithm for fruit classification and quality assessment, aiming to enhance agricultural practices through machine learning. Employing a comprehensive dataset that encapsulates various fruit attributes such as size, weight, s...

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Bibliographic Details
Main Authors: I Gede Iwan Sudipa, Rezania Agramanisti Azdy, Ika Arfiani, Nicodemus Mardanus Setiohardjo, Sumiyatun
Format: Article
Language:Indonesian
Published: Yocto Brain 2024-03-01
Series:Indonesian Journal of Data and Science
Subjects:
K-Nearest Neighbors
Fruit Classification
Quality Assessment
Agricultural Technology
Machine Learning
Cross-Validation
Online Access:https://jurnal.yoctobrain.org/index.php/ijodas/article/view/125

Internet

https://jurnal.yoctobrain.org/index.php/ijodas/article/view/125

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