A low-complexity machine learning nitrate loss predictive model – Towards proactive farm management in a networked catchment
A low-complexity machine learning nitrate loss predictive model – Towards proactive farm management in a networked catchment
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8
Merrett, Geoffrey
2d7935a7-acf7-41af-8951-a03a5be50781
Rivers, Mark
d77b505c-0318-4a77-bc88-a6fc38d38660
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Zia, Huma
74118b4c-35ab-44e8-a44f-daa4cc6f83e8
Merrett, Geoffrey
2d7935a7-acf7-41af-8951-a03a5be50781
Rivers, Mark
d77b505c-0318-4a77-bc88-a6fc38d38660
Harris, Nicholas, Zia, Huma, Merrett, Geoffrey and Rivers, Mark
(2019)
A low-complexity machine learning nitrate loss predictive model – Towards proactive farm management in a networked catchment.
IEEE Access.
(doi:10.1109/ACCESS.2019.2901218).
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FINAL Article
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Accepted/In Press date: 14 February 2019
e-pub ahead of print date: 18 February 2019
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Local EPrints ID: 428537
URI: http://eprints.soton.ac.uk/id/eprint/428537
ISSN: 2169-3536
PURE UUID: 4e39e846-30ba-4f63-b77c-929fd2deb00c
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Date deposited: 01 Mar 2019 17:30
Last modified: 16 Mar 2024 02:45
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Contributors
Author:
Nicholas Harris
Author:
Huma Zia
Author:
Geoffrey Merrett
Author:
Mark Rivers
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