Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek 2018, Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach, Agricultural and forest meteorology, vol. 263, pp. 428-448, doi: 10.1016/j.agrformet.2018.09.002.

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Title Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach
Author(s) Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Deo, Ravinesh C.
Downs, Nathan J.
Maraseni, Tek
Journal name Agricultural and forest meteorology
Volume number 263
Start page 428
End page 448
Total pages 21
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-12-15
ISSN 0168-1923
Language eng
DOI 10.1016/j.agrformet.2018.09.002
Indigenous content off
Field of Research 04 Earth Sciences
07 Agricultural and Veterinary Sciences
06 Biological Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2018, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121790

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
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