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2024	A retrospective view on non-linear methods in chemometrics, and future directions Frontiers in Analytical Science Frank Westad, Geir Rune Flåten
2024	Non-Destructive Prediction of Anthocyanin Content of Rosa chinensis Petals Using Digital Images and Machine Learning Algorithms Horticulturae Xiu-Ying Liu, Jun-Ru Yu, Heng-Nan Deng
2024	Prediction of cyanidin 3-rutinoside content in Michelia crassipes based on near-infrared spectroscopic techniques Frontiers in Plant Science Yuguang Xiao, Xiaoshu Zhang, Jun Liu, He Li, Jingmin Jiang, Yanjie Li, Shu Diao
2023	Estimation of Anthocyanins in Whole-Fertility Maize Leaves Based on Ground-Based Hyperspectral Measurements Remote Sensing Shiyu Jiang, Qingrui Chang, Xiaoping Wang, Zhikang Zheng, Yu Zhang, Qi Wang
2022	Polysaccharide determination and habitat classification for fresh Dendrobiums with hyperspectral imagery and modified RBFNN RSC Advances Yuzhen Wei, Wenjun Hu, Feiyue Wu, Yi He
2021	Association of spectroscopically determined leaf nutrition related traits and breeding selection in Sassafras tzumu Plant Methods Jun Liu, Yang Sun, Wenjian Liu, Zifeng Tan, Jingmin Jiang, Yanjie Li
2021	Applications of machine learning in spectroscopy Applied Spectroscopy Reviews Carlos A. Meza Ramirez, Michael Greenop, Lorna Ashton, Ihtesham ur Rehman