Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.
- DOI
- 10.1371/journal.pone.0240948
- Published
- 2021
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0240948,
title = {Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.},
author = {Xu Z and Kurek A and Cannon SB and Beavis WD},
year = {2021},
journal = {PloS one},
doi = {10.1371/journal.pone.0240948},
url = {https://doi.org/10.1371/journal.pone.0240948}
}RIS
TY - JOUR TI - Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis. AU - Xu Z AU - Kurek A AU - Cannon SB AU - Beavis WD PY - 2021 JO - PloS one DO - 10.1371/journal.pone.0240948 UR - https://doi.org/10.1371/journal.pone.0240948 ER -
APA
Z, X., A, K., SB, C., & WD, B. (2021). Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.. PloS one. https://doi.org/10.1371/journal.pone.0240948