Seed Population Optimization
Seed Population Optimization is a methodological framework in precision agriculture that determines the optimal seeding rate across spatially variable field conditions to maximize crop yield and resource efficiency by integrating site-specific environmental, soil, and management factors.
9
Publications
514
Citations
26
Authors
11
Institutions
Publications per year
2017–2026
3
Parents
9
1–5 of 9
26
1
h-index
1
h-index
1
h-index
1
h-index
Universidade Federal de Santa Maria, Brazil
1 publications · 67 citations
1
h-index
1–5 of 26
11
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
2 publications
328 citations
Ping An (China)
Shenzhen, China
1 h-index
2 publications
32 citations
Cloud Computing Center
Dongguan, China
1 h-index
2 publications
32 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
13 citations

Universidade Federal de Santa Maria
Santa Maria, Brazil
1 h-index
4 publications
268 citations
Islamic Azad University of Urmia
Urmia, Iran
1 h-index
1 publications
100 citations
University of Nottingham Ningbo China
Ningbo, China
1 h-index
3 publications
48 citations

The University of Melbourne
Melbourne, Australia
1 h-index
1 publications
16 citations
1–8 of 11
ARCME · 1 publications · 100 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 67 citations
1
h-index
1 publications · 64 citations
1
h-index
1–5