The proposed Vis-NIR detection method has the feasibility to analyse the purity of multi-grain rice seeds, which is a rapid, non-destructive and promising�...
Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy � Jing Zhang, Mingliang Li, +2 authors. Jiemei Chen�...
Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy. JZJing Zhang. Jing Zhang. MLMingliang Li.
Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy. https://doi.org/10.1016/j.compag.2019.104882 �.
Results confirmed the feasibility of NIR spectroscopy for variety identification of multi-grain rice seeds. The proposed two discrete-wavelength models located�...
Jul 6, 2024 � This study proposes a novel method for automatically identifying the purity of a specific rice variety using hybrid machine learning algorithms.
Dec 16, 2023 � The paper describes a method using visible and near-infrared (Vis-NIR) spectroscopy to estimate the purity of multi-grain rice seeds. The method�...
Jun 26, 2021 � We propose a hyperspectral rice seed purity identification method based on the LASSO logistic regression model (LLRM).
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Accurate, rapid, and nondestructive identification of rice seed varieties has great significance for agriculture and food security, a method based on�...
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[5] Zhang J, Li M, Pan T, Yao L and Chen J. 2019 Purity analysis of multi-grain rice seeds with non-destructive visible and near-infrared spectroscopy Computers�...
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