APPLE TREE YIELD ANALYSIS USING DATA MINING

被引：0

作者：

Trajer, Jedrzej ^{[1
]}

Pietrzycka, Iwona ^{[1
]}

Piotrowska, Ewa ^{[1
]}

Golisz, Ewa ^{[1
]}

机构：

[1] Warsaw Univ Life Sci SGGW, Fac Prod Engn, Warsaw, Poland

来源：

FARM MACHINERY AND PROCESSES MANAGEMENT IN SUSTAINABLE AGRICULTURE | 2017年

关键词：

apple tree yielding; Data Mining; sustainable gardening production;

D O I：

10.24326/fmpmsa.2017.69

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

The paper analyses an orcharding farm that specializes in apple trees production. Based on the data for the period of 2008-2014, the authors analysed the main factors that might have impact on apple yield. A computer system for assessment of apple trees cultivation efficiency that aids in making appropriate decisions allowing for obtaining the highest yield, was proposed. The system was developed using selected Data Mining techniques such as cluster analysis and Kohonen networks. The system may be useful for decision support in sustainable horticulture production, and thus contributes to the development of sustainable agriculture. Although its quality is acceptable it still requires improvement using a bigger dataset.

引用

页码：384 / 388

页数：5

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