An Implementation of YOLOv5 and Flutter Framework for Fruit and Vegetable Object Detection-Reference-Cited by-同舟云学术

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An Implementation of YOLOv5 and Flutter Framework for Fruit and Vegetable Object Detection

Published:2023-11-23 Issue: Volume:17 Page:259-264
ISSN:
Container-title:2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)
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Author:

Alamsyah Akhmad Nur¹,Prasetyo Novian Adi¹,Wibowo Fahrudin Mukti¹,Amrulloh Arif¹,Sari Puspita Kartika¹

Affiliation:

1. Institut Teknologi Telkom Purwokerto,Faculty of Informatics,Purwokerto,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420524/10420471/10420564.pdf?arnumber=10420564

Reference19 articles.

1. Effects and impacts of technical processing units on the nutrients and functional components of fruit and vegetable juice

2. Reasearch on Kiwi Fruit Flower Recognition for Efficient Pollination Based on an Improved YOLOv5 Algorithm

3. A Deep Learning Approach to Identify Fresh and Stale Fruits and Vegetables with YOLO

4. Fruit Classification Comparison Based on CNN and YOLO

5. MedSay-Tamil: A Pharmacological-Translator Mobile Application for the aid of Native Tamil Speakers

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