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1 Ergebnisse
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A machine learning approach to predicting plant available p..:
Hall, Rebecca L
;
de Santana, Felipe Bachion
;
Grunsky, Eric C
...
https://hdl.handle.net/20.500.12518/582. , 2023
Link:
https://hdl.handle.net/20.500.12518/582
RT Journal T1
A machine learning approach to predicting plant available phosphorus that accounts for soil heterogeneity and regional variability
UL https://suche.suub.uni-bremen.de/peid=base-ftafbinst:oai:afbi.dspacedirect.org:20.500.12518_582&Exemplar=1&LAN=DE A1 Hall, Rebecca L A1 de Santana, Felipe Bachion A1 Grunsky, Eric C A1 Browne, Margaret A A1 Lowe, Victoria A1 Fitzsimons, Mairéad A1 Higgins, Suzanne A1 Gallagher, Vincent A1 Daly, Karen YR 2023 K1 Random forest K1 Soil test phosphorus K1 Soil index K1 Nutrient availability K1 Mehlich-3 K1 Morgan's phosphorus JF https://hdl.handle.net/20.500.12518/582 LK http://dx.doi.org/https://hdl.handle.net/20.500.12518/582 DO https://hdl.handle.net/20.500.12518/582 SF ELIB - SuUB Bremen
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