Three-Dimensional (3D) Vision and Sensing Techniques for Biological and Agricultural Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 10 September 2024 | Viewed by 3194
Special Issue Editors
Interests: machine vision; artificial intelligence; smart food manufacturing; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: agricultural robotics; 2D and 3D computer vision; machine learning; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Three-dimensional (3D) vision is a powerful and useful extension of regular color cameras. With rapid developments in 3D vision hardware and analysis software algorithms, 3D vision techniques have been widely used in biological and agricultural domains, such as product quality controlling, plant phenotyping, animal behavior monitoring. Meanwhile, 3D vision sensors can be integrated into automation or robotic systems for better environmental perception.
The objective of this Special Issue is to collect high state-of-the-art research contributions, tutorials, and position papers that address the broad 3D vision challenges in biological and agricultural applications, which include, but are not limited to, 3D vision system design, conventional- or deep-learning-based RGB-D image/ point cloud data analysis, and in-field or online 3D vision applications. Original papers describing completed and unpublished work that are not currently under review by any other journal, magazine, or conference, are solicited.
Dr. Dongyi Wang
Dr. Lirong Xiang
Guest Editors
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