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머신러닝 기반의 농업 유전자원 데이터 분석 플랫폼
Translated title of the contribution
:
Machine Learning-based Agricultural Genetic Resources Analysis Platform
Joung-Min Choi
, Jihyeon Kim
,
HyunKyung Choo
, Chaelin Park
, Heejoon Chae
Not published at VTT
Sookmyung Women's University
Research output
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peer-review
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Keyphrases
Agriculture
100%
Machine Learning Based
100%
Resource Analysis
100%
Genetic Resources
100%
Machine Learning Techniques
28%
High Performance
14%
Machine Learning Algorithms
14%
Easy Access
14%
Increased Productivity
14%
Classification Features
14%
Feature Correlation Analysis
14%
Feature Combination
14%
Feature Analysis
14%
Materials in Biotechnology
14%
Cluster Classification
14%
Feature Selection Analysis
14%
INIS
resources
100%
machine learning
100%
genetics
100%
data analysis
28%
datasets
28%
performance
14%
correlations
14%
implementation
14%
classification
14%
raw materials
14%
algorithms
14%
biotechnology
14%
productivity
14%
Earth and Planetary Sciences
Machine Learning
100%
Genetic Resource
100%
Agricultural and Biological Sciences
Genetic Resource
100%
Agricultural Genetics
100%
Biochemistry, Genetics and Molecular Biology
Genetic Resource
100%
Feature Extraction
14%
Cross Breeding
14%
Neuroscience
Machine Learning Algorithm
100%