Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies
- DOI
- 10.1007/978-3-030-06137-1_6
- Published
- 2019
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-06137-1_6,
title = {Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies},
author = {Yun-peng Cui and Jian Wang and Shi-hong Liu and En-ping Liu and Hai-qing Liu},
year = {2019},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-06137-1_6},
url = {https://doi.org/10.1007/978-3-030-06137-1_6}
}RIS
TY - JOUR TI - Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies AU - Yun-peng Cui AU - Jian Wang AU - Shi-hong Liu AU - En-ping Liu AU - Hai-qing Liu PY - 2019 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-06137-1_6 UR - https://doi.org/10.1007/978-3-030-06137-1_6 ER -
APA
Cui, Y., Wang, J., Liu, S., Liu, E., & Liu, H. (2019). Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-06137-1_6
Source records
- crossref · retrieved 2026-09-25T05:49:30.282Z