A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties-Reference-Cited by-同舟云学术

A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties

Published:2018-10-24 Issue:35 Volume:25 Page:35682-35692
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Hou Yi Xuan,Zhao Hua Fu,Zhang Zhuo,Wu Ke Ning

Funder

the national key R&D program of China

special funds for scientific research on public causes of ministry of land and resources of China

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/article/10.1007/s11356-018-3458-0/fulltext.html

Reference53 articles.

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2. Artiushenko T et al (2014) Metal uptake, antioxidant status and membrane potential in maize roots exposed to cadmium and nickel. Biologia 69:1142–1147

3. Barber S.A., Cushman J.H (1981) Nitrogen uptake model for agronomic crops, in modeling waste water renovation- land treatment

4. Bester PK, Lobnik F, Erzen I, Kastelec D, Zupan M (2013) Prediction of cadmium concentration in selected home-produced vegetables. Ecotoxicol Environ Saf 96:182–190. https://doi.org/10.1016/j.ecoenv.2013.06.011

5. Bingham FT, Page AL, Strong JE (1980) Yield and cadmium content of rice grain in relation to addition rates of cadmium, copper, nickel, and zinc with sewage sludge and liming. Soil Sci 130:32–38

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