INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN)

INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN)

In 2018, the Indonesian fruit exports increased by 24% from the previous year. The surge in demand for tropical fruits from non-tropical countries is one of the contributing factors for this trend. Some of these countries have strict quality requirements – the poor level quality control of fruit...

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Bibliographic Details
Main Authors: Hasan Basri, Iwan Syarif, Sritrusta Sukaridhoto, Muhammad Fajrul Falah
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2019-07-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Deep Learning
Faster R-CNN
Object Detection
TensorFlow
Tracking Detection
Online Access:https://kursorjournal.org/index.php/kursor/article/view/187

Internet

https://kursorjournal.org/index.php/kursor/article/view/187

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