Evidence map›Paper›PMID 36483963›Full record

ArticleFrontiers in plant science2022

Design of an efficient combined multipoint picking scheme for tea buds.

Lijia Xu, Yi Xie, Xinyuan Chen, Yanjun Chen, Zhiliang Kang, Peng Huang, Zhiyong Zou, Yong He, Ning Yang, Yingqi Peng and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Lijia XuCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Yi XieCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Xinyuan ChenCollege of Engineering, Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Yanjun ChenCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Zhiliang KangCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Peng HuangCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Zhiyong ZouCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Yong HeSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
Ning YangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Yingqi PengCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Jianwu DaiCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Zhijun WuCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Bi LiuCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Yuchao WangCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Yongpeng ZhaoCollege of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, a combined multipoint picking scheme was proposed, and the sizes of the end of the bud picker were selectively designed. Firstly, the end of the bud picker was abstracted as a fixed-size picking box, and it was assumed that the tea buds in the picking box have a certain probability of being picked. Then, the picking box coverage and the greedy algorithm were designed to make as few numbers of picking box set as possible to cover all buds to reduce the numbers of picking. Furthermore, the Graham algorithm and the minimum bounding box were applied to fine-tune the footholds of each picking box in the optimal coverage picking box set, so that the buds were concentrated in the middle of the picking boxes as much as possible. Moreover, the geometric center of each picking box was taken as a picking point, and the ant colony algorithm was used to optimize the picking path of the end of the bud picker. Finally, by analyzing the influence of several parameters on the picking performance of the end of the bud picker, the optimal sizes of the picking box were calculated successfully under different conditions. The experimental results showed that the average picking numbers of the combined multipoint picking scheme were reduced by 31.44%, the shortest picking path was decreased by 11.10%, and the average consumed time was reduced by 50.92% compared to the single-point picking scheme. We believe that the proposed scheme can provide key technical support for the subsequent design of intelligent bud-picking robots.

Indexed as

Graham algorithmgreedy algorithmminimum bounding boxpicking box setstea buds

Identifiers

PMID36483963
PMCPMC9724705

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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.