Monitoring of impurities in green peppers based on convolutional neural networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Monitoring of impurities in green peppers based on convolutional neural networks

Published:2023-08-09 Issue:1 Volume:18 Page:63-69
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Zhang Jian,Pu Jing,an Ting,Wu Pengxin,Zhou Hong,Niu Qi,Li Chengsong,Wang Lihong

Funder

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02711-y.pdf

Reference35 articles.

1. Cao, M., Zhang, S., Li, M., Liu, Y., Dong, P., Li, S., Kuang, M., Li, R., Zhou, Y.: Discovery of four novel viruses associated with flower yellowing disease of green SichuanPepper (Zanthoxylum Armatum) by virome analysis. Viruses-basel. 11, 696 (2019). https://doi.org/10.3390/v11080696

2. Zhang, J., Zhou, H., Luo, F., Wan, L., Li, C., Wang, L.: Determination of mechanical properties of Zanthoxylum armatum using the discrete element method. Food Qual. Saf. (2022). https://doi.org/10.1093/fqsafe/fyac043

3. Shen, Y., Yin, Y., Zhao, C., Li, B., Wang, J., Li, G., Zhang, Z.: Image recognition method based on an improved convolutional neural network to detect impurities in wheat. IEEE Access. 7, 162206–162218 (2019). https://doi.org/10.1109/ACCESS.2019.2946589

4. Wang, P., Luo, F., Wang, L., Li, C., Niu, Q., Li, H.: S-ResNet: an improved ResNet neural model capable of the identification of small insects. Front. Plant Sci. 13, 1066115 (2022). https://doi.org/10.3389/fpls.2022.1066115

5. Ankam, P., Shankar, V., Harshini, P., Akash, A., Valusa, A.: Real time face identification for capturing the class attendance using convolutional neural networks. In: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (2021)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3