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International Journal of Frontiers in Engineering Technology, 2025, 7(2); doi: 10.25236/IJFET.2025.070205.

A novel grafting machine for Solanaceae based on big data and deep learning technologies

Author(s)

Ruiyang Yin1, Pengfei Fu2, Kexin Wang3

Corresponding Author:
Pengfei Fu
Affiliation(s)

1Department of Measurement and Control Technology and Instrumentation, Wuhan University of Technology, Wuhan, China

2Department of Safety and Emergency Management, Wuhan University of Technology, Wuhan, China

3Department of Electronic Information Engineering, Wuhan University of Technology, Wuhan, China

Abstract

This paper addresses the issue of low manual grafting efficiency in solanaceous crops and the high training and operational costs associated with current expensive grafting equipment. Traditional grafting methods mainly rely on manual operations, which are inefficient and require high technical skills from workers. To improve grafting efficiency and reduce labor intensity, there is an urgent need to develop automated or semi-automated grafting machinery. This type of equipment can not only reduce the use of pesticides and pesticide residues but also significantly increase economic benefits, with potential yields of 7-10 tons per acre, which is 2-3 times higher than the benefits of non-grafted planting[2]. In response to these backgrounds and needs, this project has designed a new type of Solanaceae grafting machine based on big data and deep learning, accelerating the process of smart agriculture and comprehensive mechanization in agriculture, bringing new hope for the development of the Solanaceae crop industry.

Keywords

solanaceous crops, grafting efficiency, expert system, mechanical structures, deep learning

Cite This Paper

Ruiyang Yin, Pengfei Fu, Kexin Wang. A novel grafting machine for Solanaceae based on big data and deep learning technologies. International Journal of Frontiers in Engineering Technology(2025), Vol. 7, Issue 2: 34-39. https://doi.org/10.25236/IJFET.2025.070205.

References

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[2] Tian, Z., Ma, W., Yao, S., et al. (2022). Design and Experiment of Horizontal Vegetable Seedling Grafting Machine. China Agricultural Machinery Chemistry Journal, 43(11), 32-37. DOI: 10.13733/j.jcam.issn.2095-5553.2022.11.005.

[3] Wang, J., Zhang, M., Gao, C., et al. (2023). Design and Experiment of Multi-Seedling Simultaneous Automatic Grafting Machine for Solanaceous Vegetables. Journal of Agricultural Machinery, 54(6), 38-45. DOI: 10.6041/j.issn.1000-1298.2023.06.004.

[4] Chen, J., Liu, W., Zhang, L., et al. (2024). Structural Design of Handheld Grafting Machine for Olive Seedlings. Southern Agricultural Machinery, 55(22), 14-16. DOI: 10.3969/j.issn.1672-3872.2024.22.004. 

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