Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks

@inproceedings{Li2014EvaluationMF,
  title={Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks},
  author={Hao Li and Weijia Leng and Yibing Zhou and Fudi Chen and Zhilong Xiu and Dazuo Yang},
  booktitle={TheScientificWorldJournal},
  year={2014}
}
Soil nutrient is an important aspect that contributes to the soil fertility and environmental effects. Traditional evaluation approaches of soil nutrient are quite hard to operate, making great difficulties in practical applications. In this paper, we present a series of comprehensive evaluation models for soil nutrient by using support vector machine (SVM), multiple linear regression (MLR), and artificial neural networks (ANNs), respectively. We took the content of organic matter, total… CONTINUE READING

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