Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research and Design of Autonomous Snow Lotus Fruit Harvesting and Grading System

Download as PDF

DOI: 10.23977/acss.2024.080119 | Downloads: 6 | Views: 136

Author(s)

Ruizhe Peng 1, Dongyang Zhao 2, Xiaoyu Liu 2, Yongtai Zhuang 2

Affiliation(s)

1 College of Automation, Wuhan University of Technology, Wuhan, China
2 College of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan, China

Corresponding Author

Ruizhe Peng

ABSTRACT

This device is a full -automatic snowdrop fruit picking classification device. This device can be realistic. Now automatically plan the path of the Snow Lotus Fruit Garden, pick the snow lotus fruit with the optimal way to solve the road, and benefit. Use visual recognition technology to achieve precise positioning snow lotus fruit. At the same time, the size of each module of the device is rigorously designed by market research. It can run in the snow lotus orchard, and can be picked to the tree. There are snow lotus fruit, realizing the automation of snow lotus fruit picking throughout the process, and avoiding a large number of labor costs. 

KEYWORDS

Crops; picking grading; market

CITE THIS PAPER

Ruizhe Peng, Dongyang Zhao, Xiaoyu Liu, Yongtai Zhuang, Research and Design of Autonomous Snow Lotus Fruit Harvesting and Grading System. Advances in Computer, Signals and Systems (2024) Vol. 8: 160-169. DOI: http://dx.doi.org/10.23977/acss.2024.080119.

REFERENCES

[1] Ju Da. Snow lotus fruit [J]. Global humanities and geography, 2017 (7): 125. Doi: 10.3969/J.ISSN. 2095-0446. 2017.07.018.
[2] Wen Zhong. Snow lotus fruit [J]. Global humanities and geography, 2013 (9): 117.
[3] Huan Kan, Runxi He. Snow lotus fruit vinegar trial production [J]. Chinese Brewed, 2008 (5): 126-127. Doi: 10.3969/J.ISSN.0254-5071.2008.05.039. 
[4] Changsong He. Research on High -yield Cultivation of Snow lotus fruit [D]. Guizhou: Guizhou University, 2009. Doi: 10.7666/D.D214980.
[5] Qi Wu. Snow lotus fruit fermented drink development and its regulating blood glucose function research [D]. Jilin: Jilin Agricultural University, 2019. Doi: 10.7666/D.D01810140.
[6] Honglian Tao. Tree planting machine working device Hydraulic system power matching method and test research [D]. Zhejiang: Zhejiang University of Technology, 2017.
[7] Yi Wei. Research on the Digital Twin Template Testing Platform of Transformed Track Robot Research [D]. China University of Mining and Technology, 2021.
[8] Mei Lu. Track -type single motion unit modeling and simulation analysis [D]. Liaoning: Northeast University, 2008. Doi: 10.7666/D.Y1841746.
[9] Chaofei Zhai, Yuliang Ma, Dejin Zhao. Convolutionary neural network fruit recognition [J]. Southern Agricultural Machinery, 2021, 52 (10): 59-60, 66. Doi: 10.3969/J.ISSN.1672-3872.2021.10.021.
[10] Wei Liu, Shun Wang, Taotao Yue, et al. Full automatic walnut picking device [J]. Agricultural technology and equipment, 2017 (3): 69-72. Doi: 10.3969/J.ISSN.1673-887x. 2017.03.032.
[11] Anyu Shi, Xuegang Li, Liyan Feng, et al. Dual curve slider mechanism comprehensive algebra [J]. Mechanical engineering and automation, 2022 (1): 8-10. Doi: 10.3969/J.ISSN.1672-6413.202222 .01.003.
[12] Zhen Li, Wei Wang, Hongqiang Wang, etc. The output power analysis and dynamic simulation of the crank slide molding machine [J]. Mechanical and Electrical Engineering, 2022, 39 (3): 419-426. Doi: 10.3969/J.ISSNNN. 1001-4551.2022.03.020.
[13] Dewei Chen. Matlab simulation of the crank slide mechanism [J]. Journal of Taiyuan University of Science and Technology, 2005, 26 (3): 172-175. Doi: 10.3969/J.ISSN.1673-2057.2005.03.004.

Downloads: 13954
Visits: 262536

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.