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

Author:

Ali Mumtaz,Deo Ravinesh C.ORCID,Downs Nathan J.,Maraseni Tek

Funder

University of Southern Queensland’s Office of Graduate Studies Postgraduate Research Scholarship

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference87 articles.

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2. Major crops forecasting area, production and yield evidence from agriculture sector of Pakistan;Ahmad;Sarhad J. Agric.,2017

3. A new look at the statistical model identification;Akaike;IEEE Trans. Automat. Contr.,1974

4. Forecasting production and yield of sugarcane and cotton crops of Pakistan for 2013-2030;Ali;Sarhad J. Agric.,2015

5. An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index;Ali;Atmos. Res.,2018

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