Construction of apricot variety search engine based on deep learning-Reference-Cited by-同舟云学术

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Construction of apricot variety search engine based on deep learning

Published:2023-02 Issue: Volume: Page:
ISSN:2468-0141
Container-title:Horticultural Plant Journal
language:en
Short-container-title:Horticultural Plant Journal

Author:

Chen Chen,Wang Lin,Liu Huimin,Liu Jing,Xu Wanyu,Huang Mengzhen,Gou Ningning,Wang Chu,Bai Haikun,Jia Gengjie,Wuyun Ta-na

Publisher

Elsevier BV

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Renewable Energy, Sustainability and the Environment,Ecology,Ecology, Evolution, Behavior and Systematics

Reference35 articles.

1. Tomato fruit detection and counting in greenhouses using deep learning;Afonso;Front Plant Sci,2020

2. A state-of-the-art survey on deep learning theory and architectures;Alom;Electronics,2019

3. Some physical properties of fenugreek (Trigonella foenum-graceum L.) seeds;Altuntas;J Food Eng,2005

4. Opencv library;Bradski;Doctor Dobbs,2000

5. Deep learning for tomato diseases: classification and symptoms visualization;Brahimi;Appl Artif Intell,2017

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. Detection of Fundamental Quality Traits of Winter Jujube Based on Computer Vision and Deep Learning;Agronomy;2023-08-10

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