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

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

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 mod...

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Bibliographic Details
Main Authors:	Hao Li, Weijia Leng, Yibing Zhou, Fudi Chen, Zhilong Xiu, Dazuo Yang
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2014/478569
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