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2012 (Vol. 4, Issue: 3)
Article Information:

An Ecological Balanced Fertilization Model Based on Chemical and Microbial Compound Fertilization

Rongbiao Zhang, Ning Yang, Yuqi Zhao, Shuhan Li and Yongchun Zhang
Corresponding Author:  Rongbiao Zhang 

Key words:  Compound fertilizer, Ecological Balanced Fertilization Models (EBFM), Minimum Data Set (MDS), Weighted Fuzzy Clustering Algorithm (WFCA), , ,
Vol. 4 , (3): 177-181
Submitted Accepted Published
May 08, 2012 May 29, 2012 June 25, 2012
Abstract:

This study proposed an Ecological Balanced Fertilization Models (EBFM) based on microbial compound fertilizer. We selected nine evaluating factors as Minimum Data Set (MDS). This MDS includes nutrition and microorganisms. According to the composition of chemistry nutrients to soil, microbial fertilizer and the level of effective fertilizer nutrient supply, we use the EBFM of the specific crops to develop the ratio of various elements. Finally, the Weighted Fuzzy Clustering Algorithm (WFCA) is used to evaluate the soil nutrient spatial changes of proposed EBFM after fertilizer operations comprehensively. The experiment shows that by using the proposed EBFM three years the spatial differences of soil nutrient has become narrowed. The overall fertility of soil has been increased.
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  Cite this Reference:
Rongbiao Zhang, Ning Yang, Yuqi Zhao, Shuhan Li and Yongchun Zhang, 2012. An Ecological Balanced Fertilization Model Based on Chemical and Microbial Compound Fertilization.  Advance Journal of Food Science and Technology, 4(3): 177-181.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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