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1 Ergebnisse
1
Harnessing Machine Learning to Estimate Aquaculture's Contr..:
Belton, Benjamin
;
Haque, Mohammad Mahfujul
;
Ali, Hazrat
...
Belton, B., Haque, M.M., Ali, H., Nejadhashemi, A.P., Hernandez, R.A., Khondker, M. and Ferriby, H. 2022. Harnessing Machine Learning to Estimate Aquaculture's Contributions to the Economy of Southwest Bangladesh. Presented at World Aquaculture Society, Singapore, 1 December 2022. Penang, Malaysia: WorldFish.. , 2023
Link:
https://hdl.handle.net/10568/127061
RT Journal T1 <Title>Harnessing Machine Learning to Estimate Aquaculture's Contributions to The Economy of Southwest Bangladesh</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftcgiar:oai:cgspace.cgiar.org:10568_127061&Exemplar=1&LAN=DE A1 Belton, Benjamin A1 Haque, Mohammad Mahfujul A1 Ali, Hazrat A1 Nejadhashemi, Amir Pouyan A1 Hernández, Ricardo A1 Khondker, Murshed-E-Jahan A1 Ferriby, Hannah PB WorldFish YR 2023 K1 climate change K1 food systems K1 deltas JF Belton, B., Haque, M.M., Ali, H., Nejadhashemi, A.P., Hernandez, R.A., Khondker, M. and Ferriby, H. 2022. Harnessing Machine Learning to Estimate Aquaculture's Contributions to the Economy of Southwest Bangladesh. Presented at World Aquaculture Society, Singapore, 1 December 2022. Penang, Malaysia: WorldFish. LK http://dx.doi.org/https://hdl.handle.net/10568/127061 DO https://hdl.handle.net/10568/127061 SF ELIB - SuUB Bremen
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