Bayesian hybrid analytics for uncertainty analysis and real‐time crop management

Dynamic, deterministic agricultural models, and current machine learning technologies based on sensor data, enable and support decision making for on‐farm management. However, their predictions are subject to various sources of uncertainty. Hybrid analytics that leverage both modelled and sensor dat...

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Veröffentlicht in:	Agronomy journal 2021-05, Vol.113 (3), p.2491-2505
Hauptverfasser:	Meenken, Esther D., Triggs, Christopher M., Brown, Hamish E., Sinton, Sarah, Bryant, Jeremy R., Noble, Alasdair D.L., Espig, Martin, Sharifi, Mostafa, Wheeler, David M.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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