tailieunhanh - Modeling wheat yield and weather variability using classification and regression tree approach in Samastipur district of Bihar, India

Climate change continues to have major impact on crop productivity all over the world. Researchers have evaluated the possible impact of global warming on crop yields. Predicting the potential effects of climate change on crop yields requires a model of crops respond to weather. Techniques commonly used for wheat yield estimation employ weather data over the growing season. Improved understanding of the potential effects of climate change on crop yields enables to plan for appropriate and timely responses. This study is to investigate how climate variability affects wheat yield at its different growth stages. | Modeling wheat yield and weather variability using classification and regression tree approach in Samastipur district of Bihar India

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