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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523000898 |
| _version_ | 1797809798352207872 |
|---|---|
| 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 |
| work_keys_str_mv | AT lirongxiang areviewofthreedimensionalvisiontechniquesinfoodandagricultureapplications AT dongyiwang areviewofthreedimensionalvisiontechniquesinfoodandagricultureapplications AT lirongxiang reviewofthreedimensionalvisiontechniquesinfoodandagricultureapplications AT dongyiwang reviewofthreedimensionalvisiontechniquesinfoodandagricultureapplications |