Field-grown tomato yield estimation using point cloud segmentation with 3D shaping and RGB pictures from a field robot and digital single lens reflex cameras
The aim of this study was to estimate field-grown tomato yield (weight) and quantity of tomatoes using a self-developed robot and digital single lens reflex (DSLR) camera pictures. The authors suggest a new approach to predicting tomato yield that is based on images taken in the field, 3D scanning,...
Saved in:
| Main Authors: | B. Ambrus, G. Teschner, A.J. Kovács, M. Neményi, L. Helyes, Z. Pék, S. Takács, T. Alahmad, A. Nyéki |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024140285 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Applications of Naked-Eye 3D Display Technology in Medical Field
by: Yunmeng ZHANG, et al.
Published: (2024-01-01) -
Dexterous Manipulation Based on Object Recognition and Accurate Pose Estimation Using RGB-D Data
by: Udaka A. Manawadu, et al.
Published: (2024-10-01) -
Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution
by: Shizhao Li, et al.
Published: (2024-12-01) -
Neural Colour Correction for Indoor 3D Reconstruction Using RGB-D Data
by: Tiago Madeira, et al.
Published: (2024-06-01) -
HUMAN POSE RECOGNITION USING GEODESIC DISTANCE AND COLOR FEATURES WITH DEPTH CAMERA
by: Đinh Đồng Lưỡng
Published: (2017-06-01)