Seed Lot Classification
Seed Lot Classification is a systematic framework used in seed quality assurance that categorizes seed lots based on defined genetic, physical, and physiological attributes to distinguish them according to established regulatory or commercial standards.
6
Publications
190
Citations
22
Authors
9
Institutions
Publications per year
2017–2026
3
Parents
6
Deep learning based soybean seed classification
Ziliang Huang, Rujing Wang, Ying Cao et al. · Computers and Electronics in Agriculture · 2022 · 69 citations
Robust seed germination prediction using deep learning and RGB image data
Yuval Nehoshtan, Elad Carmon, Omer Yaniv et al. · Scientific Reports · 2021 · 45 citations · Full text
Variation and Evaluation of Seed Shape in Soybean
Randall L. Nelson, Wang Peiying · Crop Science · 1989 · 28 citations
MACHINE LEARNING FOR SOYBEAN SEEDS LOTS CLASSIFICATION
Gizele Ingrid Gadotti, Carla A. Ascoli, Ruan Bernardy et al. · Engenharia Agrícola · 2022 · 14 citations · Full text
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1–5 of 22
9
Southwest University of Science and Technology
Mianyang, China
1 h-index
1 publications
69 citations

Hefei Institutes of Physical Science
Hefei, China
1 h-index
6 publications
414 citations
Institute of Intelligent Machines
Hefei, China
1 h-index
6 publications
414 citations
Cropping Systems Research Laboratory
Lubbock, United States
1 h-index
1 publications
11 citations

X-Fab (Germany)
Erfurt, Germany
1 h-index
1 publications
45 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
28 citations

Universidade Federal de Pelotas
Pelotas, Brazil
1 h-index
5 publications
70 citations
Goodwin College
East Hartford, United States
1 h-index
1 publications
28 citations
1–8 of 9
2 publications · 39 citations
2
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1 publications · 69 citations
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Repository · 1 publications · 23 citations
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1 publications · 14 citations
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1 publications · 45 citations
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