A review of three-dimensional vision techniques in food and agriculture applications
In recent years, three-dimensional (3D) machine vision techniques have been widely employed in agriculture and food systems, leveraging advanced deep learning technologies. However, with the rapid development of three-dimensional (3D) imaging techniques, the lack of a systematic review has hindered...
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Smart Agricultural Technology |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523000898 |
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author | Lirong Xiang Dongyi Wang |
author_facet | Lirong Xiang Dongyi Wang |
author_sort | Lirong Xiang |
collection | DOAJ |
description | In recent years, three-dimensional (3D) machine vision techniques have been widely employed in agriculture and food systems, leveraging advanced deep learning technologies. However, with the rapid development of three-dimensional (3D) imaging techniques, the lack of a systematic review has hindered our ability to identify the most suitable imaging systems for specific agricultural and food applications. In this review, a variety of 3D imaging techniques are introduced, with their working principles and applications in agriculture and food systems. These techniques include Structure lighting-based 3D imaging, Multiview 3D imaging system, Time of Flight (ToF)-based 3D imaging system, Lighting Detection and Ranging (LiDAR), and Depth estimation from monocular image. Furthermore, the three-dimensional image analysis methods applied to these 3D imaging techniques are described and discussed in this review. |
first_indexed | 2024-03-13T06:58:13Z |
format | Article |
id | doaj.art-af1354af321d45e4ae36caab43cc5cf8 |
institution | Directory Open Access Journal |
issn | 2772-3755 |
language | English |
last_indexed | 2024-03-13T06:58:13Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Smart Agricultural Technology |
spelling | doaj.art-af1354af321d45e4ae36caab43cc5cf82023-06-07T04:50:03ZengElsevierSmart Agricultural Technology2772-37552023-10-015100259A review of three-dimensional vision techniques in food and agriculture applicationsLirong Xiang0Dongyi Wang1Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC 27695, USA; NC Plant Sciences Initiative, North Carolina State University, Raleigh, NC 27695, USADepartment of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA; Department of Food Science, University of Arkansas, Fayetteville, AR 72701, USA; Corresponding author at: Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.In recent years, three-dimensional (3D) machine vision techniques have been widely employed in agriculture and food systems, leveraging advanced deep learning technologies. However, with the rapid development of three-dimensional (3D) imaging techniques, the lack of a systematic review has hindered our ability to identify the most suitable imaging systems for specific agricultural and food applications. In this review, a variety of 3D imaging techniques are introduced, with their working principles and applications in agriculture and food systems. These techniques include Structure lighting-based 3D imaging, Multiview 3D imaging system, Time of Flight (ToF)-based 3D imaging system, Lighting Detection and Ranging (LiDAR), and Depth estimation from monocular image. Furthermore, the three-dimensional image analysis methods applied to these 3D imaging techniques are described and discussed in this review.http://www.sciencedirect.com/science/article/pii/S27723755230008983D imagingRGB-D imagingStereo imagingDeep learningPoint cloud analysis |
spellingShingle | Lirong Xiang Dongyi Wang A review of three-dimensional vision techniques in food and agriculture applications Smart Agricultural Technology 3D imaging RGB-D imaging Stereo imaging Deep learning Point cloud analysis |
title | A review of three-dimensional vision techniques in food and agriculture applications |
title_full | A review of three-dimensional vision techniques in food and agriculture applications |
title_fullStr | A review of three-dimensional vision techniques in food and agriculture applications |
title_full_unstemmed | A review of three-dimensional vision techniques in food and agriculture applications |
title_short | A review of three-dimensional vision techniques in food and agriculture applications |
title_sort | review of three dimensional vision techniques in food and agriculture applications |
topic | 3D imaging RGB-D imaging Stereo imaging Deep learning Point cloud analysis |
url | http://www.sciencedirect.com/science/article/pii/S2772375523000898 |
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