Real-Time Oil Palm Fruit Grading System Using Smartphone and Modified YOLOv4-Reference-Cited by-同舟云学术

Real-Time Oil Palm Fruit Grading System Using Smartphone and Modified YOLOv4

Published:2023 Issue: Volume:11 Page:59758-59773
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Suharjito ¹^ORCID,Asrol Muhammad¹^ORCID,Utama Ditdit Nugeraha²,Junior Franz Adeta³,Marimin ⁴

Affiliation:

1. Industrial Engineering Department, BINUS Graduate Program-Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia

2. Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia

3. Cyber Security Program, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia

4. Agro-Industrial Technology Department, Faculty of Agricultural Engineering and Technology, Bogor Agricultural University, West Java, Bogor, Indonesia

Funder

Ministry of Education, Culture, Research, and Technology in Indonesia

Direktorat Jenderal Pendidikan Tinggi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10149186.pdf?arnumber=10149186

Reference45 articles.

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4. The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN

5. MobileNetV2: Inverted Residuals and Linear Bottlenecks

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