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Spectroscopy Letters
An International Journal for Rapid Communication
Volume 52, 2019 - Issue 10
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Articles

Nondestructive discrimination of internal defects in jujube (Huizao) of Xinjiang based on visible and near-infrared spectroscopy

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Pages 577-582 | Received 07 Feb 2019, Accepted 23 Jul 2019, Published online: 13 Aug 2019

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Liu Zhang, Zhenhong Rao & Haiyan Ji. (2020) Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds. Spectroscopy Letters 53:3, pages 207-221.
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Articles from other publishers (5)

Jin-Feng Dou, Xiao-Hong Kou, Cai-E. Wu, Gong-Jian Fan, Ting-Ting Li, Xiao-Jing Li, Dan-Dan Zhou, Zhi-Cheng Yan & Jin-Peng Zhu. (2023) Recent advances and development of postharvest management research for fresh jujube fruit: A review. Scientia Horticulturae 310, pages 111769.
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Yujie Li, Benxue Ma, Yating Hu, Guowei Yu & Yuanjia Zhang. (2022) Detecting Starch-Head and Mildewed Fruit in Dried Hami Jujubes Using Visible/Near-Infrared Spectroscopy Combined with MRSA-SVM and Oversampling. Foods 11:16, pages 2431.
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Zhouzhou Zheng, Yaohua Hu, Huanbo Yang, Yichen Qiao, Yong He, Yan Zhang & Yuxiang Huang. (2022) AFFU-Net: Attention feature fusion U-Net with hybrid loss for winter jujube crack detection. Computers and Electronics in Agriculture 198, pages 107049.
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Heng Sun, Liu Zhang, Hao Li, Zhenhong Rao & Haiyan Ji. (2021) Nondestructive identification of barley seeds varieties using hyperspectral data from two sides of barley seeds. Journal of Food Process Engineering 44:8.
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Zhongyuan Guo, Hong Zheng, Xiaohang Xu, Jianping Ju, Zhaohui Zheng, Changhui You & Yu Gu. (2020) Quality grading of jujubes using composite convolutional neural networks in combination with RGB color space segmentation and deep convolutional generative adversarial networks . Journal of Food Process Engineering 44:2.
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