Evidence map›Paper›PMID 41383944›Full record

ArticleFrontiers in plant science2025

Design and simulation of key components for mechanical transplanting of large pineapple seedlings.

Junwang Guo, Beier Zhou, XiaoJie Liu, Zhenhui Hui, Xiaying Hao, Zhaoxin Zhang, Zhijie Yang, Haitian Sun, Zhong Xue

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Junwang Guo *College of Engineering and Technology, Tianjin Agricultural University, Tianjin, China.
Beier Zhou *College of Engineering and Technology, Tianjin Agricultural University, Tianjin, China.
XiaoJie LiuCollege of Engineering and Technology, Tianjin Agricultural University, Tianjin, China.
Zhenhui HuiCollege of Engineering and Technology, Tianjin Agricultural University, Tianjin, China.
Xiaying HaoCollege of Engineering and Technology, Shanxi Agricultural University, Jinzhong, China.
Zhaoxin ZhangCollege of Engineering and Technology, Shanxi Agricultural University, Jinzhong, China.
Zhijie YangCollege of Engineering and Technology, Tianjin Agricultural University, Tianjin, China.
Haitian SunSouth Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences/Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture and Rural Affairs, Zhanjiang, China.
Zhong XueSouth Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences/Key Laboratory of Tropical Fruit Biology, Ministry of Agriculture and Rural Affairs, Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pineapple is an important characteristic crop in tropical and subtropical regions of China. In production, the proportion of labor costs is high and the level of mechanization is low, which hinders the full play of the industrial potential. Mechanized production of pineapple is the fundamental path to improve economic benefits and promote high-quality development of the industry. Among them, transplanting is a key technical link in the mechanized production of pineapple. Therefore, in order to improve the mechanization level of pineapple seedling transplanting in China, this paper reviews the existing key transplanting technologies and pineapple planting technologies and equipment at home and abroad, studies and analyzes the planting mode and physical characteristics of pineapple seedlings, standardizes the treatment of pineapple seedlings, and designs a duckbill-type pineapple seedling transplanter that can perform membrane transplanting operations. This study expounds the overall structure and working principle of the duckbill-type transplanter, optimizes the design of the transmission system and planting components of the transplanter, uses SolidWorks to conduct 3D modeling and interference analysis of the whole machine, and combines the actual force conditions to conduct finite element analysis of the core components. The analysis results show that there is no interference in the 3D assembly model, which meets the design requirements; the maximum strain, maximum stress and maximum displacement of the frame, driving shaft and transplanting arm all meet the design requirements, and the maximum stress is 2.816e+07Pa, 5.387e+08Pa and 1.448e+08Pa respectively, which does not exceed the yield strength of 710MPa of the 40CrNiMoA material after normalizing, verifying the correctness of the structural design and the safety of the mechanism strength and deformation. The results of the field experiments show that the pineapple seedling transplanting machine has a good transplanting effect, significantly improves transplanting efficiency, effectively reduces labor intensity, and lowers labor costs.

Indexed as

duckbill-type planting devicefinite element analysismechanizationpineapplesolid worksstandardized treatment of seedlingstransplanting

Identifiers

PMID41383944
PMCPMC12689990

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.