Classification of sugarcane varieties based on stalk scanning by using portable near infrared spectrometer
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Abstract
The objective of this research was to study and test the possibility of using the portable near infrared spectrometer (NIRs) for classification of sugarcane varieties between Khonkean3 (KK3) and Suphanburi 50 (SP50), the most important sugarcane varieties in Thailand that the near infrared spectral were collected in the wavelength cover ranges of 634-1124 nm from the direct sugarcane stalks. The classification of sugarcane varieties was developed by using Chemometrics analysis based on the partial least square discriminant analysis (PLS-DA). The results showed that, PLS-DA model could be discriminate the both of sugarcane groups which the correctly classification was 100%. This calibration and validation represented the 14 factors which the coefficient of determination of calibration (RC2), root mean square of standard error of calibration (RMSEC), coefficient of determination of validation (RV2) and root mean square of standard error of cross-validation (RMSECV) were 0.99, 0.05, 0.98 and 0.07, respectively. This study proves the NIR technology fore identification of sugarcane varieties, especially in the development of sugarcane breeding.
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สถาบันค้นคว้าและพัฒนาผลิตผลทางการเกษตรและอุตสาหกรรมเกษตร. 2555. เทคโนโลยีอินฟราเรดย่านใกล้และการประยุกต์ใช้ในอุตสาหกรรม. มหาวิทยาลยัเกษตรศาตร์.
สำนักงานคณะกรรมการอ้อยและน้ำตาลทราย. 2560. คนรักษ์อ้อย. แหล่งข้อมูล: http://www.ocsb.go.th/. ค้นเมื่อ 2 มีนาคม 2563.
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