An Improved Inception Network to classify black tea appearance quality-Reference-Cited by-同舟云学术

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An Improved Inception Network to classify black tea appearance quality

Published:2024-05 Issue: Volume:369 Page:111931
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Guo Jiaming,Liang Jianhua^ORCID,Xia Hongling,Ma Chengying,Lin Jicheng,Qiao Xiaoyan

Publisher

Elsevier BV

Subject

Food Science

Reference25 articles.

1. Localization and classification of rice-grain images using region proposals-based convolutional neural network;Aukkapinyo;Int. J. Autom. Comput.,2020

2. A YOLOv3-based computer vision system for identification of tea buds and the picking point;Chen;Comput. Electron. Agric.,2022

3. Recent developments of green analytical techniques in analysis of tea's quality and nutrition;Chen;Trends Food Sci. Technol.,2015

4. A gloss composition and context clustering based distributed word sense representation model;Chen;Entropy,2015

5. Deep Residual Learning for Image Recognition;He,2016

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. Predicting green tea moisture content during roasting by shape feature;Journal of Food Engineering;2024-12

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