Investigating YOLO Models for Rice Seed Classification

Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 181-192.

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Auteurs principaux:	Phan, Thi Thu Hong, Ho, Huu Tuong, Hoang, Thao Nhien
Format:	Bài viết
Langue:	English
Publié:	Springer Nature 2023
Sujets:	Rice seed classification Deep Learning YOLOv5 YOLOv6 YOLOv7
Accès en ligne:	https://link.springer.com/chapter/10.1007/978-3-031-36886-8_15 http://elib.vku.udn.vn/handle/123456789/2735
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spelling	oai:elib.vku.udn.vn:123456789-27352023-09-26T01:58:37Z Investigating YOLO Models for Rice Seed Classification Phan, Thi Thu Hong Ho, Huu Tuong Hoang, Thao Nhien Rice seed classification Deep Learning YOLOv5 YOLOv6 YOLOv7 Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 181-192. Rice is an important staple food over the world. The purity of rice seed is one of the main factors affecting rice quality and yield. Traditional methods of assessing the purity of rice varieties depend on the decision of human technicians/experts. This work requires a considerable amount of time and cost as well as can lead to unreliable results. To overcome these problems, this study investigates YOLO models for the automated classification of rice varieties. Experiments on an image dataset of six popular rice varieties in Vietnam demonstrate that the YOLOv5 model outperforms the other YOLO variants in both accuracy and time of training model. 2023-09-26T01:58:29Z 2023-09-26T01:58:29Z 2023-07 Working Paper 978-3-031-36886-8 https://link.springer.com/chapter/10.1007/978-3-031-36886-8_15 http://elib.vku.udn.vn/handle/123456789/2735 en application/pdf Springer Nature
institution	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng
collection	DSpace
language	English
topic	Rice seed classification Deep Learning YOLOv5 YOLOv6 YOLOv7
spellingShingle	Rice seed classification Deep Learning YOLOv5 YOLOv6 YOLOv7 Phan, Thi Thu Hong Ho, Huu Tuong Hoang, Thao Nhien Investigating YOLO Models for Rice Seed Classification
description	Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 181-192.
format	Working Paper
author	Phan, Thi Thu Hong Ho, Huu Tuong Hoang, Thao Nhien
author_facet	Phan, Thi Thu Hong Ho, Huu Tuong Hoang, Thao Nhien
author_sort	Phan, Thi Thu Hong
title	Investigating YOLO Models for Rice Seed Classification
title_short	Investigating YOLO Models for Rice Seed Classification
title_full	Investigating YOLO Models for Rice Seed Classification
title_fullStr	Investigating YOLO Models for Rice Seed Classification
title_full_unstemmed	Investigating YOLO Models for Rice Seed Classification
title_sort	investigating yolo models for rice seed classification
publisher	Springer Nature
publishDate	2023
url	https://link.springer.com/chapter/10.1007/978-3-031-36886-8_15 http://elib.vku.udn.vn/handle/123456789/2735
_version_	1849204703595855872

Investigating YOLO Models for Rice Seed Classification

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