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Sila Kittiwachana. Determination of amylose contents in rice grains using near infrared reflectance spectroscopy (NIRS) and supervised self-organizing map (SOM). (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2016.
Determination of amylose contents in rice grains using near infrared reflectance spectroscopy (NIRS) and supervised self-organizing map (SOM)
Name: Sujitra Funsueb
Organization :
Chiang Mai University. Faculty of Science
Name: Grissana Sudtasarn
Organization :
Ubon Ratchathani Rice Research Center
Name: Sila Kittiwachana
Organization :
Chiang Mai University. Faculty of Science
Email :
silacmu@gmail.com
keyword:
Rice grains
LCSH:
Self-organizing maps
Abstract:
Self-organizing map (SOM) in a supervised mode was applied to determine amylose
content in rice grain samples based on near infrared reflectance spectroscopy (NIRS). Thirty
six varieties of rice samples were analyzed by NIR reflectance spectroscopy resulting in a
total of 185 spectra. The absorbances in the measuring range of 10002500 nm were used to
establish a non-linear calibration model. Prior to the analysis, the spectral data were preprocessed
using the first derivative, the second derivative and standard normal variate (SNV).
Using the SOM prediction, the best root mean square error (RMSE) values for the training
and test sets were 1.05 and 1.20, respectively, from the model with the first derivative and
SNV. In addition, the r2 values of the correlation graphs between the expected and predicted
amylose contents the training and test sets were 0.9412 and 0.9213, respectively. The
predictive results were compared with partial least squares (PLS), one of the most wellknown
calibration models. It was found, in this case, that the non-linear could provide
slightly a better predictive result.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2016
Modified:
2562-10-11
Issued:
2019-10-11
บทความ/Article
application/pdf
BibliograpyCitation :
In Chemical Society of Thailand under the Patronage of Professor Dr. HRH Princess Chulabhorn and Chulalongkorn University Faculty of science. Pure and Applied Chemistry International Conference (PACCON 2016) (pp.116-120). Bangkok : Chemical Society of Thailand under the Patronage of Professor Dr. HRH Princess Chulabhorn
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.020277 วินาที
Sujitra Funsueb
| Title | Contributor | Type |
|---|---|---|
| Prediction of 2-Acetyl-1-Pyrroline content in rice (Oryza Sativa Indica cv. Pathum Thani 1) grains based on growing condition, plant growth and yield component data using Chemometric Techniques
มหาวิทยาลัยเชียงใหม่ Sujitra Funsueb | Wipanoot Baison Sulawan Kaowphong Sila Kittiwachana | วิทยานิพนธ์/Thesis |
| Determination of amylose contents in rice grains using near infrared reflectance spectroscopy (NIRS) and supervised self-organizing map (SOM)
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sujitra Funsueb;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article |
Grissana Sudtasarn
| Title | Contributor | Type |
|---|---|---|
| A comparison of principal component analysis (PCA) and self-organizing map (SOM) for exploratory data analysis of near-infrared reflectance (NIR) spectra of rice grains
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sakunna Wongsaipun;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article | |
| Determination of amylose contents in rice grains using near infrared reflectance spectroscopy (NIRS) and supervised self-organizing map (SOM)
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sujitra Funsueb;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article |
Sila Kittiwachana