Forecasting transitions in the state of food security with machine learning using transferable features.

Westerveld JJL, van den Homberg MJC, Nobre GG, van den Berg DLJ, Teklesadik AD, Stuit SM.

Open source

DOI
10.1016/j.scitotenv.2021.147366
Published
2021-04-27
Container
Sci Total Environ
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1016/j.scitotenv.2021.147366,
  title = {Forecasting transitions in the state of food security with machine learning using transferable features.},
  author = {Westerveld JJL and  van den Homberg MJC and  Nobre GG and  van den Berg DLJ and  Teklesadik AD and  Stuit SM.},
  year = {2021},
  journal = {Sci Total Environ},
  doi = {10.1016/j.scitotenv.2021.147366},
  url = {https://doi.org/10.1016/j.scitotenv.2021.147366}
}

RIS

TY  - JOUR
TI  - Forecasting transitions in the state of food security with machine learning using transferable features.
AU  - Westerveld JJL
AU  -  van den Homberg MJC
AU  -  Nobre GG
AU  -  van den Berg DLJ
AU  -  Teklesadik AD
AU  -  Stuit SM.
PY  - 2021
JO  - Sci Total Environ
DO  - 10.1016/j.scitotenv.2021.147366
UR  - https://doi.org/10.1016/j.scitotenv.2021.147366
ER  - 

APA

JJL, W., MJC, V. D. H., GG, N., DLJ, V. D. B., AD, T., & SM., S. (2021). Forecasting transitions in the state of food security with machine learning using transferable features.. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2021.147366

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