Neural Image Analysis for Estimating Aerobic and Anaerobic Decomposition of Organic Matter Based on The Example of Straw Decomposition

被引：39

作者：

Boniecki, P. ^{[1
]}

Nowakowski, K. ^{[1
]}

Slosarz, P. ^{[1
]}

Dach, J. ^{[1
]}

Pilarski, K. ^{[1
]}

机构：

[1] Poznan Univ Life Sci, Inst Agr Engn, Poznan, Poland

来源：

FOURTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2012) | 2012年 / 8334卷

关键词：

quality-based classification of compost; neural modeling;

D O I：

10.1117/12.954165

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The purpose of the project was to identify the degree of organic matter decomposition by means of a neural model based on graphical information derived from image analysis. Empirical data (photographs of compost content at various stages of maturation) were used to generate an optimal neural classifier (Boniecki et al. 2009, Nowakowski et al. 2009). The best classification properties were found in an RBF (Radial Basis Function) artificial neural network, which demonstrates that the process is non-linear.

引用

页数：5

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