Cargando…
A Novel Auto-Sorting System for Chinese Cabbage Seeds
This paper presents a novel machine vision-based auto-sorting system for Chinese cabbage seeds. The system comprises an inlet-outlet mechanism, machine vision hardware and software, and control system for sorting seed quality. The proposed method can estimate the shape, color, and textural features...
Autores principales: | Huang, Kuo-Yi, Cheng, Jian-Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5424763/ https://www.ncbi.nlm.nih.gov/pubmed/28420197 http://dx.doi.org/10.3390/s17040886 |
Ejemplares similares
-
Calibration and analysis of discrete element simulation parameters of Chinese cabbage seeds
por: Wang, Shengsheng, et al.
Publicado: (2022) -
SeedSortNet: a rapid and highly effificient lightweight CNN based on visual attention for seed sorting
por: Li, Chunlei, et al.
Publicado: (2021) -
Characteristics of Color Development in Seeds of Brown- and Yellow-Seeded Heading Chinese Cabbage and Molecular Analysis of Brsc, the Candidate Gene Controlling Seed Coat Color
por: Ren, Yanjing, et al.
Publicado: (2017) -
BcRISP1, isolated from non-heading Chinese cabbage, decreases the seed set of transgenic Arabidopsis
por: Liu, Tongkun, et al.
Publicado: (2014) -
Correlations between Phytohormones and Drought Tolerance in Selected Brassica Crops: Chinese Cabbage, White Cabbage and Kale
por: Pavlović, Iva, et al.
Publicado: (2018)