An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty
نویسندگان
چکیده
1 Science and Technology Branch, Agriculture and Agri-Food Canada, Lethbridge Research Centre, Lethbridge, AB, Canada 2 Department of Statistics, University of British Columbia, Vancouver, BC, Canada 3 Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada 4 Science and Technology Branch, National Agroclimate Information Service, Agriculture and Agri-Food Canada, Ottawa, ON, Canada 5 Science and Technology Branch, National Agroclimate Information Service, Agriculture and Agri-Food Canada, Regina, SK, Canada 6 Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Toowoomba, QLD, Australia 7 Habitat Conservation Management Division, Canadian Wildlife Service, Environment Canada, Montreal, QC, Canada 8 Science and Technology Branch, National Agroclimate Information Service, Agriculture and Agri-Food Canada, Saskatoon, SK, Canada
منابع مشابه
Developments in dynamical seasonal forecasting relevant to agricultural management
Recent developments in dynamical seasonal forecasting of potential relevance to agricultural management are discussed. These developments emphasize the importance of using a fully probabilistic approach at all stages of the forecasting process, from the dynamical ocean–atmosphere models used to predict climate variability at seasonal and interannual time scales, through the models used to downs...
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