Design and operation of a deep-learning-based fresh tea-leaf sorting robot

Author:

Zhang Xuechen,Wu Zhengmin,Cao Chengmao,Luo Kun,Qin Kuan,Huang Yangyang,Cao Jie

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference26 articles.

1. High-speed identification system for fresh tea leaves based on phenotypic characteristics utilizing an improved genetic algorithm;Gan;J. Sci. Food Agric.,2022

2. Evaluation of data mining strategies for classification of black tea based on image-based features;Bakhshipour;Food Anal. Meth.,2018

3. Trajectory planning method of robot sorting system based on S-shaped acceleration/deceleration algorithm;Chen;Int. J. Adv. Rob. Syst.,2018

4. Localizing plucking points of tea leaves using deep convolutional neural networks;Chen;Comput. Electron. Agric.,2020

5. Automatic sorting of fresh tea leaves using vision-based recognition method;Chen;J. Food Process Eng,2020

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