Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
Accurate reconstruction of plant models for phenotyping analysis is critical for optimizing sustainable agricultural practices in precision agriculture. Traditional laboratory‐based phenotyping, while valuable, falls short of understanding how plants grow under uncontrolled conditions. Robotic techn...
Saved in:
| Main Authors: | Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
|
| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400665 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Visual navigation and crop mapping of a phenotyping robot MARS-PhenoBot in simulation
by: Zhengkun Li, et al.
Published: (2025-08-01) -
A 3D reconstruction platform for complex plants using OB-NeRF
by: Sixiao Wu, et al.
Published: (2025-03-01) -
Plant stem and leaf segmentation and phenotypic parameter extraction using neural radiance fields and lightweight point cloud segmentation networks
by: Gaofei Qiao, et al.
Published: (2025-03-01) -
Bio-Inspired 3D Affordance Understanding from Single Image with Neural Radiance Field for Enhanced Embodied Intelligence
by: Zirui Guo, et al.
Published: (2025-06-01) -
Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field
by: Li Li, et al.
Published: (2024-11-01)