Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds-Reference-Cited by-同舟云学术

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Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds

Published:2021-04-19 Issue:3 Volume:53 Page:2261-2275
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Qi Fang,Xie Zuoqi^ORCID,Tang Zhe,Chen Huarong

Funder

China Agriculture Research System, Hunan Province Key Research and Development Plan

Project of Scientific and Technological Breakthrough in Strategic Emerging Industries of Hunan Province

Science and Technology Project of Changsha City

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-021-10501-1.pdf

Reference44 articles.

1. Nakachi K, Matsuyama S, Miyake S et al (2000) Preventive effects of drinking green tea on cancer and cardiovascular disease: epidemiological evidence for multiple targeting prevention. BioFactors 13:49–54

2. Setiawan VW, Zhang ZF, Yu GP et al (2001) Protective effect of green tea on the risks of chronic gastritis and stomach cancer. Int J Cancer 92:600–604

3. Shibata K, Moriyama M, Fukushima T et al (2000) Green tea consumption and chronic atrophic gastritis: a cross-sectional study in a green tea production village. Epidemiol 10:310–316

4. Jian L, Xie LP, Lee AH et al (2004) Protective effect of green tea against prostate cancer: a case-control study in southeast China. Int J Cancer 108:130–135

5. Fujiki H, Suganuma M, Okabe S et al (2001) Cancer inhibition by green tea. Research 299:480–481

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3. Identification of tea bud with improved DCGAN algorithm and GhostNet-RCLAM network;Journal of Food Measurement and Characterization;2023-04-27

4. A review on the application of computer vision and machine learning in the tea industry;Frontiers in Sustainable Food Systems;2023-04-20

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