Vis/NIR spectroscopy for non-destructive method in detecting soybean seeds viability

• Main Authors: Saputri, Devi Alicia Surya, Pahlawan, M. Fahri Reza, Murti, Betty M. A., Masithoh, Rudiati Evi
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: Institute of Physics 2022
• Subjects: Crop and Pasture Improvement (Selection and Breeding); Horticultural Crop Improvement (Selection and Breeding)
• Online Access: https://repository.ugm.ac.id/284566/1/Saputri_2022_IOP_Conf._Ser.__Earth_Environ._Sci._1038_012043.pdf; https://repository.ugm.ac.id/284566/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134260484&doi=10.1088%2f1755-1315%2f1038%2f1%2f012043&partnerID=40&md5=5b2bdbab0fc2143be53ac4a0398f72a7
• Institution: Universitas Gadjah Mada

The purpose of this study was to use study the potency of the modular Vis/NIR spectroscopy for determining viability of soybean seeds. Vis/NIR spectra of soybean seeds were collected and analysed using partial least squares discriminant analysis (PLS-DA) for discriminating non-viable soybean seeds from viable ones. The optimal classification models developed were compared with various spectral pre-processing methods. The result showed that the modular Vis/NIR spectroscopy performed perfectly (Accuracy and Reliability of 100) in detecting soybean viability. The study showed that the Vis/NIR spectroscopy coupled with chemometric analysis are potential for rapid detection of viability of soybean seeds.