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pro vyhledávání: '"Bruce Kisitu"'
Publikováno v:
PLoS Biology, Vol 19, Iss 11 (2021)
Open access, high-resolution soil property maps have been created for Africa at 30 m resolution, using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level information, iSDAsoil enables the possibility of si
Externí odkaz:
https://doaj.org/article/ad17c737df4a47c290a58a27d87887b6
Autor:
Bruce, Kisitu, Costa, Hofisi
Publikováno v:
In Journal of Rural Studies August 2019 70:87-95
Publikováno v:
PLoS Biology, Vol 19, Iss 11, p e3001441 (2021)
PLoS Biology
PLoS Biology, Vol 19, Iss 11 (2021)
PLoS Biology
PLoS Biology, Vol 19, Iss 11 (2021)
Open access, high-resolution soil property maps have been created for Africa at 30 m resolution, using machine learning trained on over 100,000 analysed soil samples. Combined with other field-level information, iSDAsoil enables the possibility of si