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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Detalles Bibliográficos
Autores principales: Li, Hao, Leng, Weijia, Zhou, Yibing, Chen, Fudi, Xiu, Zhilong, Yang, Dazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273551/
https://www.ncbi.nlm.nih.gov/pubmed/25548781
http://dx.doi.org/10.1155/2014/478569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273551/
https://www.ncbi.nlm.nih.gov/pubmed/25548781
http://dx.doi.org/10.1155/2014/478569

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