Three-Dimensional Point Cloud Reconstruction and Morphology Measurement Method for Greenhouse Plants Based on the Kinect Sensor Self-Calibration
Plant morphological data are an important basis for precision agriculture and plant phenomics. The three-dimensional (3D) geometric shape of plants is complex, and the 3D morphology of a plant changes relatively significantly during the full growth cycle. In order to make high-throughput measurement...
Main Authors: | Guoxiang Sun, Xiaochan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/9/10/596 |
Similar Items
-
Three-Dimensional Morphological Measurement Method for a Fruit Tree Canopy Based on Kinect Sensor Self-Calibration
by: Haihui Yang, et al.
Published: (2019-11-01) -
Global Reconstruction Method of Maize Population at Seedling Stage Based on Kinect Sensor
by: Naimin Xu, et al.
Published: (2023-01-01) -
Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants
by: Guoxiang Sun, et al.
Published: (2019-07-01) -
Three-Dimensional Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera
by: Xiaowen Teng, et al.
Published: (2021-07-01) -
Indoor 3D Reconstruction of Buildings via Azure Kinect RGB-D Camera
by: Chaimaa Delasse, et al.
Published: (2022-11-01)