Kittipon Aparatana, Yumika Naomasa, Morito, Sano Kenta Watanabe Muneshi Mitsuoka Masami Ueno, Yoshinobu, Kawamitsu Eizo Taira. Predicting sugarcane quality using a portable visible near infrared spectrometer and a benchtop near infrared spectrometer. Journal of Near Infrared Spectroscopy. 2022
Kamonpan RATTANASOPA, Khwantri, SAENGPRACHATANARUG, Seree WONGPICHET, Jetsada POSOM, Kanda SAIKAEW, Kittiphit UNGSATHITTAVORN, Sirorat PILAWUT, Adulwit CHINAPAS, Eizo TAIRA. UAV-Based Multispectral Imagery for Estimating Cassava Tuber Yields. Engineering in Agriculture, Environment and Food. 2022. 15. 1. 1-12
Classification of Sugarcane Variety using Image Processing and Multivariate Analysis
(2019 International Joint Conference on JSAM, SASJ, and 13th CIGR VI Technical Symposium joining FWFNWG and FSWG Workshops 2019)
Identification and Quantification of Trash in Delivered Sugarcane using Hyperspectral Imaging and Chemometrics Technique
(XXX International sugar cane congress 2019)
Development of a rapid and inexpensive quality-evaluation method for shredded cane using near-infrared spectroscopy
(XXX International sugar cane congress 2019)
High-efficiency calibration system for direct cane analysis using combined NIR system
(XXX International sugar cane congress 2019)
Application of Near-infrared spectroscopy for sugar production in Japan
(The International Sugar and Sugarcane conference 2019)
2019/09/05 - International Society of sugarcane technologists Award for best poster, International Society of sugarcane technologists Identification and quantification of trash in delivered sugarcane using hyperspectral imaging and chemometric techniques