Fruit Quality Classification using Artificial Intelligence

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9. INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED
CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN) by aHasan Basri, bIwan Syarif, cSritrusta Sukaridhoto, dMuhammad
Fajrul Falah,aDepartment of Informatics Management, Politeknik Negeri Fakfak, West Papua, Indonesia b,c,dDepartment of
Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya, Indonesia E-mail: [email protected],
[email protected], [email protected]
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Sukaridhoto Department of Information and Computer Engineering Graduate Program Of Engineering Technology Politeknik
Elektronika Negeri Surabaya [email protected],{iwanarif,sritrustra}@pens.ac.id
11. Fruit Detection Using Faster R-CNN Based On Deep Network by Linjuan Ma1, Fuquan Zhang2, Lin Xu3; School of Computer Science
and Technology, Beijing Institute of Technology, 100081 Beijing, P.R. China 2 Fujian Provincial Key Laboratory of Information
Processing and Intelligent Control(Minjiang Univeristy), Fuzhou, 350121, P.R. China * Corresponding author: Fuquan Zhang, e-mail:
[email protected]. 3 Key Laboratory of Nondestructive Testing, Fuqing Branch of Fujian Normal University, Fuzhou, 350300,
P.R.china.
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