Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN-Reference-Cited by-同舟云学术

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Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN

Published:2024-08 Issue: Volume:223 Page:109122
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Li Xu,Wu Jingming,Bai Tiecheng^ORCID,Wu Cuiyun,He Yufeng,Huang Jianxi,Li Xuecao,Shi Ziyan,Hou Kaiyao

Publisher

Elsevier BV

Reference43 articles.

1. Random forest in remote sensing: A review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

2. Geographical origin traceability of muskmelon from Xinjiang province using stable isotopes and multi-elements with chemometrics;Bin;J. Food Compos. Anal.,2022

3. Back propagation neural networks;Buscema;Subst. Use Misuse,1998

4. Jujube quality grading using a generative adversarial network with an imbalanced data set;Cang;Biosyst. Eng.,2023

5. Cheng, J., Dong, L., & Lapata, M. (2016). Long short-term memory-networks for machine reading. arXiv preprint arXiv:1601.06733.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-destructive geographical traceability of American ginseng using near-infrared spectroscopy combined with a novel deep learning model;Journal of Food Composition and Analysis;2024-09

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