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decision-making in agriculture.A practical tool for decision-makers, this book identifies the challenges to be addressed in the … climate information and prediction products for applications in agriculture. This in turn reduces the negative impacts due to … applications for management and decision-making in agriculture.It also identifies the challenges to be addressed in the next 5 to …
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Global evidence shows that seasonal climate forecasting can be a useful strategy in adapting to the effects of climate change on agricultural production. Meteorological science based seasonal climate forecasting has been broadly promoted as an important adaptation tool in this regard. However,...
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Predicting the impact of climate change on crop yield is difficult, in part because the production function mapping weather to yield is high dimensional and nonlinear. We compare three approaches to predicting yields: (i) deep neural networks (DNNs), (ii) traditional panel-data models, and (iii)...
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Climate change is predicted to substantially alter forest growth. Optimally, forest owners should take these future changes into account when making rotation decisions today. However, the fundamental uncertainty surrounding climate change makes predicting these shifts hard. Hence, this paper...
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