Granulometric Analysis of Fertilizers by Digital Image Processing

被引：0

作者：

Mendonca, Julio ^{[1
]}

Duarte, Marta ^{[1
]}

Coch, Victor ^{[1
]}

Estrada, Emanuel ^{[1
]}

Rodrigues, Ricardo ^{[1
]}

Botelho, Silvia ^{[1
]}

机构：

[1] Univ Fed Rio Grande FURG, Ctr Computat Sci C3, Rio Grande, Brazil

来源：

2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2019年

关键词：

digital image processing; fertilizers; granulometric analysis;

D O I：

10.1109/indin41052.2019.8972140

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the fertilizer industry, granulometric analysis is an important quality control of the product. Usually, this process is done mechanically, through sieving, which makes the process slow. As an alternative to this, a methodology based on digital image processing for fertilizer classification is proposed. This approach allows to measure feret's diameter, area, volume and mass, important indicators to characterize fertilizers. The results obtained were validated with sieved samples and demonstrate the applicability of the method as a low cost alternative to the traditional method of granulometry of fertilizers.

引用

页码：73 / 78

页数：6

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