A novel robust meta-model framework for predicting crop yield probability distributions using multisource data / Ermolieva T., Havlik P., Lessa-Derci-Augustynczik A., Boere E., Frank S., Kahil T., Wang G., Balkovic J., Skalsky R., Folberth C., Komendantova N., Knopov P. S. (2023)
web address of the page http://jnas.nbuv.gov.ua/article/UJRN-0001428133 Cybernetics and Systems Analysis А - 2019 / Issue (2023, Т. 59, № 5)
Ermolieva T., Havlik P., Lessa-Derci-Augustynczik A., Boere E., Frank S., Kahil T., Wang G., Balkovic J., Skalsky R., Folberth C., Komendantova N., Knopov P. S. A novel robust meta-model framework for predicting crop yield probability distributions using multisource data
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Cite: Ermolieva, T., Havlik, P., Lessa-Derci-Augustynczik, A., Boere, E., Frank, S., Kahil, T., Wang, G., Balkovic, J., Skalsky, R., Folberth, S., Komendantova, N., Knopov, P. S. (2023). Cybernetics and Systems Analysis, 59 (5), 180–195 http://jnas.nbuv.gov.ua/article/UJRN-0001428133 |
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