Informative Characteristics of Corn Kernels Spectral Data Used for Fusarium Disease Diagnostic

Izdanje: Naučna konferencija Uniteh 2010

Oblast: Automation

Stranice: 543-547

Apstrakt:
Informative characteristics of corn kernels spectral data used for Fusarium disease diagnostic are obtained and described in the paper. Two approaches first one based on wavelet transformation and second based on method Soft Independent Modeling of Class Analogy (SIMCA) are used for spectral data processing. First approach is useful for obtaining the informative area of spectral region. Second approach is used for obtaining the informative wavelengths which corresponds to Fusarium cell wall enzymes chitin and glucan. The results show that these approaches reduce the spectral data from 1050 points to 8 which could be used as a informative features for Fusarium diagnostic.
Ključne reči: Corn Kernels, Fusarium, NIRS, Wavelet Transformation, Soft Independent Modeling of Class Analogy
Priložene datoteke:
Kategorije objave: Radovi na konferenciji Unitech 2010, Gabrovo, Bugarska

Preuzimanje citata:

BibTeX format 
@article{article,
  author  = {C. Draganova, P. Daskalov and P. Veleva Doneva}, 
  title   = {Informative Characteristics of Corn Kernels Spectral Data Used for Fusarium Disease Diagnostic},
  journal = {Naučna konferencija Uniteh 2010},
  year    = 2010,
  pages   = {543-547}}
RefWorks Tagged format 
RT Conference Proceedings
A1 Cvetelina Draganova
A1 Plamen Daskalov
A1 Petja Veleva Doneva
T1 Informative Characteristics of Corn Kernels Spectral Data Used for Fusarium Disease Diagnostic
AD Naučna konferencija Unitech, Gabrovo, Bugarska
YR 2010
Unapred formatirani prikaz citata
C. Draganova, P. Daskalov and P. Veleva Doneva, Informative Characteristics of Corn Kernels Spectral Data Used for Fusarium Disease Diagnostic, Naučna konferencija Unitech, 2010