Weather based forecasting model for crops yield using neural network approach

@inproceedings{Laxmi2013WeatherBF,
  title={Weather based forecasting model for crops yield using neural network approach},
  author={Ratna Raj Laxmi and Amrender Kumar},
  year={2013}
}
Application of Neural Networks (NNs) for crop yields (rice, wheat and sugarcane) forecasting using Multi-Layer Perceptron (MLP) architecture with different learning algorithm has been attempted. For development of neural network based forecast models, yields of crop at district level (Uttar Pradesh state, India) was considered as output variable and indices of weather variables viz. maximum and minimum temperatures, rainfall and morning relative humidity were considered as input variables… CONTINUE READING

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