Irregular seeds DEM parameters prediction based on 3D point cloud and GA-BP-GA optimization
Abstract Due to the small and irregular shapes of vegetable seeds, modeling them is challenging, and the imprecision of physical parameters hinders the performance of vegetable seeders, impeding simulation development. In this study, seeds of cucumber, pepper, and tomato were seen as examples. A 3D...
Saved in:
Main Authors: | Yuling Shao, Qing Wang, Hao Sun, Xinting Ding |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-84375-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Financial production marketing prediction based on optimization GA-BP neural network
by: Xin JIN, et al.
Published: (2014-11-01) -
Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network
by: Qiang Guo, et al.
Published: (2025-01-01) -
Design and experiment of air-suction drum-type seedling seeder for irregular-shaped vegetable seeds
by: Yanjun Li, et al.
Published: (2025-02-01) -
Application of GA-ACO Optimized BP Neural Network in Fault Diagnosis of Planetary Gearbox
by: Chang Gao, et al.
Published: (2021-03-01) -
Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techniques
by: Josh Enterkine, et al.
Published: (2025-01-01)