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International Journal of Frontiers in Engineering Technology, 2024, 6(3); doi: 10.25236/IJFET.2024.060324.

Multi-terrain Navel Orange Harvesting Machinery Based on Self-balancing System

Author(s)

Jing An

Corresponding Author:
Jing An
Affiliation(s)

Wuhan University of Technology, Wuhan, China

Abstract

In order to solve the problems of complex planting terrain and low efficiency of manual picking, in order to respond to the construction requirements of "rural revitalization" and "agricultural poverty alleviation" in China, an all-terrain bionic navel orange picking machine was designed in this project. This product contains a double bionic flexible fruit picking structure and a multi-terrain self-balancing adaptive motion structure, which has the advantages of high transportation capacity, high picking efficiency, high terrain adaptability and high cost performance, realizes the automatic picking of navel oranges, can effectively improve the picking efficiency of navel oranges, and help the development of the navel orange picking industry.

Keywords

Navel orange picking, Bionic flexibility, Self-balancing, Multi-terrain

Cite This Paper

Jing An. Multi-terrain Navel Orange Harvesting Machinery Based on Self-balancing System. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 184-190. https://doi.org/10.25236/IJFET.2024.060324.

References

[1] Zhou Zhihu, Yi Jiping, Ge Wei, Zhou Danli, Zhou Li. Zigui navel orange industry impact cause analysis and development countermeasures[J].Zhejiang Citrus, 2021, 38(04):6-8. DOI:10.13906/j. cnki. zjgj. 1009-0584.2021.04.002.

[2] Peng Wei. Research status and prospect of navel orange harvester[C]//.Led by innovation, accelerate the implementation of the "Made in China 2025" strategy Seminar and the Proceedings of the 6th National Local Mechanical Engineering Society Academic Annual Conference in 2016. [Publisher unknown], 2016:211-215.

[3] Wang Haoran. Research on digital drive method of robot spherical joint based on electromagnetic principle [D].Tianjin Polytechnic Normal University, 2022. DOI:10.27711/d.cnki.gtjgc.2022.000030.

[4] Liu Jizhan. Research on analysis and optimal control of vacuum suction system of tomato picking robot [D].Jiangsu University, 2010.

[5] Liu Yanping. Research on obstacle recognition and localization method of citrus picking robot [D].Chongqing University of Technology, 2019.