Akiyama, R., Llave, Y., & Matsumoto, T. (2025). Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning. Agri Engineering, 7(11), 374-387. https://doi.org/10.3390/agriengineering7110374
ISO-690 (author-date, English)AKIYAMA, Rikuto, LLAVE, Yvan und MATSUMOTO, Takashi, 2025. Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning. Agri Engineering. 1 November 2025. Vol. 7, no. 11, p. 374-387. DOI 10.3390/agriengineering7110374.
Modern Language Association 9th editionAkiyama, R., Y. Llave, und T. Matsumoto. „Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning.“. Agri Engineering, Bd. 7, Nr. 11, November 2025, S. 374-87, https://doi.org/10.3390/agriengineering7110374.
Mohr Siebeck - Recht (Deutsch - Österreich)Akiyama, Rikuto/Llave, Yvan/Matsumoto, Takashi: Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning., Agri Engineering 2025, 374-387.
Emerald - HarvardAkiyama, R., Llave, Y. und Matsumoto, T. (2025), „Japanese Rice Variety Identification by Fluorescence Fingerprinting, Near-Infrared Spectroscopy, and Machine Learning.“, Agri Engineering, Vol. 7 No. 11, S. 374-387.