Karya
Judul/Title Non-Destructive Evaluation of Moisture Content in Single Soybean Seed Using Vis-NIR Spectroscopy
Penulis/Author M FAHRI REZA P (1); DEVI ALICIA SURYA S (2); Dr. Ir. Rudiati Evi Masithoh, S.T.P., M.Dev.Tech., IPU., Asean Eng., APEC.Eng. (3)
Tanggal/Date 28 2022
Kata Kunci/Keyword
Abstrak/Abstract In this study, moisture content of soybean was evaluated using visible near infrared (Vis-NIR) spectroscopy. Soybean were dried at 60˚C for up to 10 hours to get moisture variation. A total of 200 soybean were used in this study which made a total of 600 reflectance spectra scanned with Vis-NIR spectrometer at 400-1000 nm. All samples were randomly divided into calibration set (2/3 samples) and prediction set (1/3 samples). Partial least square regression (PLSR) was used for developing calibration model for determining moisture content of soybean seed. Original and several pre-processed spectra such as area normalization, standard normal variate (SNV), multiple scatter correction (MSC), Savitzky-Golay smoothing, and Savitzky-Golay derivative were used in PLSR. The best PLSR model was obtained using 2nd Savitzky-Golay derivative with determination coefficient of calibration (R2C) of 0.93 and root mean square error of calibration (RMSEC) of 0.004%. The PLSR model was then applied to prediction data set which resulted in determination coefficient of prediction (R2P) of 0.82 and root mean square error of prediction (RMSEP) of 0.006%. The result showed the potency of Vis-NIR spectroscopy to predict moisture content in soybean seed.
Level Internasional
Status
Dokumen Karya
No Judul Tipe Dokumen Aksi
1125981548.pdfArtikel dan Sertifikat/Bukti Kehadiran/Pasport (jika tidak ada sertifikat)
2Rudiati_Evi_Masithoh.pdfArtikel dan Sertifikat/Bukti Kehadiran/Pasport (jika tidak ada sertifikat)
3Full_dokumen_Evi.pdf[PAK] Full Dokumen
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