Study on visual localization and evaluation of automatic freshwater fish cutting system based on deep learning framework-Reference-Cited by-同舟云学术

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Study on visual localization and evaluation of automatic freshwater fish cutting system based on deep learning framework

Published:2024-03-22 Issue:1 Volume:27 Page:516-531
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Peng Xianhui¹,Chen Yan¹,Fu Dandan¹,Jiang Yajun¹,Hu Zhigang

Affiliation:

1. School of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China

Funder

Scientific Research Project from Department of Education of Hubei Province

Chinese National Natural Science Foundation of China

Hubei Science and Technology Innovation Major Special Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2024.2330503

Reference38 articles.

1. Design and Experiment of On-Line Detection and Classification System for Freshwater Fish Body Quality;Wang H.;J. Huazhong Agric. Univ.,2016

2. Optimization of Slitting Cutters Used for Gutting TrachuYUS Japohicus;Hu X.;Trans. Chin. Soc. Agric. Eng.,2014

3. Key Technology of Vision-Guided Automatic Head and Tail Removal System for Freshwater Fish;Li K.;Food Mach.,2014

4. Research Status and Development Trend of Massive Freshwater Fish Pretreatment Processing Technology and Equipment;Li L.;Fish. Modernization,2010

5. Research Progress on Pretreatment and Processing Technology of Freshwater Fish in China;Zhang W.;J Anhui Agric. Sci.,2018

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