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Academic Journal of Environmental Biology, 2020, 1(4); doi: 10.38007/AJEB.2020.010404.

Improvement Effect of Biological Bacterial Fertilizer on Soil Ecological Environment Based on Data Mining Algorithm

Author(s)

Rashide Gulun

Corresponding Author:
Rashide Gulun
Affiliation(s)

Institute of IT & Computer Science, Afghanistan

Abstract

Soil is the basis of agricultural production, but in the process of industrial improvement, the corresponding discharge of by-products, and chemical agricultural production methods have caused more and more serious soil pollution. Due to the slow soil formation process, restoring the microecology of the degraded soil is an effective way to expand the area of agricultural land, increase food production and improve the soil environment. The research purpose of this paper is to improve the effect of biological bacterial fertilizer on soil ecological environment based on data mining algorithm. In the experimental method, it is necessary to calculate the membership function value of the compost index, and use the soil comprehensive evaluation index to analyze the principal components of each compost treatment and Comprehensive evaluation of composting effect and soil improvement effect. The results showed that the addition of compound inoculants and organic compost could improve the soil well, among which, the commercial bacterial compost had the best improvement effect.

Keywords

Data Mining Algorithm, Biological Bacterial Fertilizer, Soil Ecological Environment, Soil Improvement

Cite This Paper

Rashide Gulun. Improvement Effect of Biological Bacterial Fertilizer on Soil Ecological Environment Based on Data Mining Algorithm. Academic Journal of Environmental Biology (2020), Vol. 1, Issue 4: 29-39. https://doi.org/10.38007/AJEB.2020.010404.

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