Evidence map›Paper›PMID 39460179›Full record

ArticleSensors (Basel, Switzerland)2024

Design and Testing of a Seedling Pick-Up Device for a Facility Tomato Automatic Transplanting Machine.

Zhicheng Liu, Lu Shi, Zhiyuan Liu, Jianfei Xing, Can Hu, Xufeng Wang, Long Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Zhicheng LiuCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.
Lu ShiCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.
Zhiyuan LiuCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.
Jianfei XingCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.
Can HuCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.ORCID 0000-0002-9745-6324
Xufeng WangCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.
Long WangCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.

Funding

Bintuan Science and Technology Program 2023AB005-01he major science and technology special project of Xinjiang Uygur Autonomous Region 2022A02005-5the modern agricultural ( vegetable ) industrial technology system project of Xinjiang Uygur Au-tonomous Region XJARS-07
6 · The paper itself

Abstract

At present, tomato transplanting in facility agriculture is mainly manual operation. In an attempt to resolve the problems of high labor intensity and low efficiency of manual operation, this paper designs a clip stem automatic transplanting and seedling picking device based on the yolov5 algorithm. First of all, through the study of the characteristics of tomato seedlings of different seedling ages, the age of tomato seedlings suitable for transplanting was obtained. Secondly, the improved yolov5 algorithm was used to determine the position and shape of tomato seedlings. By adding a lightweight upsampling operator (CARAFE) and an improved loss function, the feature extraction ability and detection speed of tomato seedling stems were improved. The accuracy of the improved yolov5 algorithm reached 92.6%, and mAP_0.5 reached 95.4%. Finally, the seedling verification test was carried out with tomato seedlings of about 40 days old. The test results show that the damage rate of the device is 7.2%, and the success rate is not less than 90.3%. This study can provide a reference for research into automatic transplanting machines.

Indexed as

AlgorithmsSeedlingsSolanum lycopersicumAgricultureagricultureseedling devicetomatotransplantingyolov5

Identifiers

PMID39460179
PMCPMC11511087

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.