Utilizing machine learning to optimize agricultural inputs for improved rice production benefits.

Liu T, Li X, Li X, Wang Z, Yin H, Ma Y, Luo Y, Liu R, Li Z, Deng P, Peng Z, Yang Z, Sun Y, Ma J, Chen Z

Open source

DOI
10.1016/j.isci.2024.111407
Published
2024 Dec 20
Container
iScience
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.isci.2024.111407,
  title = {Utilizing machine learning to optimize agricultural inputs for improved rice production benefits.},
  author = {Liu T and Li X and Li X and Wang Z and Yin H and Ma Y and Luo Y and Liu R and Li Z and Deng P and Peng Z and Yang Z and Sun Y and Ma J and Chen Z},
  year = {2024},
  journal = {iScience},
  doi = {10.1016/j.isci.2024.111407},
  url = {https://doi.org/10.1016/j.isci.2024.111407}
}

RIS

TY  - JOUR
TI  - Utilizing machine learning to optimize agricultural inputs for improved rice production benefits.
AU  - Liu T
AU  - Li X
AU  - Li X
AU  - Wang Z
AU  - Yin H
AU  - Ma Y
AU  - Luo Y
AU  - Liu R
AU  - Li Z
AU  - Deng P
AU  - Peng Z
AU  - Yang Z
AU  - Sun Y
AU  - Ma J
AU  - Chen Z
PY  - 2024
JO  - iScience
DO  - 10.1016/j.isci.2024.111407
UR  - https://doi.org/10.1016/j.isci.2024.111407
ER  - 

APA

T, L., X, L., X, L., Z, W., H, Y., Y, M., Y, L., R, L., Z, L., P, D., Z, P., Z, Y., Y, S., J, M., & Z, C. (2024). Utilizing machine learning to optimize agricultural inputs for improved rice production benefits.. iScience. https://doi.org/10.1016/j.isci.2024.111407

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