Soil salinity prediction using artificial neural networks

@inproceedings{Patel2002SoilSP,
  title={Soil salinity prediction using artificial neural networks},
  author={Rachna Patel and Shiv O. Prasher and P. K. God and Rajnish Bassi},
  year={2002}
}
: This study explores the applicability of Artificial Neural Networks (ANNs) for predicting salt build-up in the crop root zone. ANN models were developed with salinity data from field lysimeters subirrigated with brackish water. Different ANN architectures were explored by varying the number of processing elements (PEs) (from 1 to 30) for replicate data from a 0.4 m water table, 0.8 m water table, and both 0.4 and 0.8 m water table lysimeters. Different ANN models were developed by using… CONTINUE READING

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