Computer Vision for Seeding is a computational framework within agricultural robotics that enables precise seed placement and monitoring by extracting spatial and contextual visual information from natural environments to guide seeding operations.
10
Publications
266
Citations
43
Authors
15
Institutions
Publications per year
2017–2026
8
Parents
Publications
10
1–5 of 10
Authors
43
- VL
2
h-index
- MD
2
h-index
- KN
2
h-index
- MT
1
h-index
- WD
1
h-index
1–5 of 43
Institutions
15
Chinese Academy of Agricultural Mechanization Sciences
Beijing, China
2 h-index
9 publications
207 citations
Gembloux Agro-Bio Tech
Gembloux, Belgium
2 h-index
4 publications
150 citations
China Agricultural University
Beijing, China
2 h-index
4 publications
92 citations
Prime Minister's Office
Bandar Seri Begawan, Brunei
1 h-index
1 publications
37 citations
Universiti Tenaga Nasional
Kuala Selangor, Malaysia
1 h-index
3 publications
111 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
1 h-index
2 publications
74 citations
Qilu University of Technology
Jinan, China
1 h-index
4 publications
156 citations
Northwest A&F University
Yangling, China
1 h-index
8 publications
256 citations
1–8 of 15
Venues
- Computers and Electronics in Agriculture
3 publications · 97 citations
4
h-index
- Agronomy
1 publications · 17 citations
1
h-index
- Sensors
1 publications · 18 citations
1
h-index
- Biosystems Engineering
1 publications · 49 citations
1
h-index
- Materials Today Proceedings
1 publications · 37 citations
1
h-index
1–5