Evidence map›Paper›PMID 39999094›Full record

ArticlePloS one2025

Design and experiment of a bionic drag-reducing digger for tuberous crops under heavy soil conditions.

Ranbing Yang, Wenjian Xu, Zhiguo Pan, Huan Zhang, Zhixi Deng

Abstract read
In one paragraph

Article in PloS one, 2025. 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. Review
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

5 authors.

Ranbing YangCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China.ORCID 0009-0001-0820-6535
Wenjian XuCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China.
Zhiguo PanCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China.ORCID 0000-0002-9859-4825
Huan ZhangCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China.
Zhixi DengCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aiming at the problems of high working resistance and high energy consumption in potato crop harvesting in sticky soil, this paper designs a potato bionic drag-reducing digging shovel based on the streamline shape of catfish head. Based on the theoretical analysis and discrete element method (DEM) simulation, the main factors affecting the digging resistance are the angle of entry, forward speed and vibration frequency, and the digging resistance increases with the increase of forward speed, and decreases with the increase of vibration frequency. Through the orthogonal test in the field, the optimal working parameters of the drag reduction performance are determined with the digging resistance as the test index, and the comparative test of the different shovel shapes is carried out with this parameter. The results show that the optimal solution is to use bionic shovel, with an entry angle of 15°, an operating speed of 0.27m/s, and a vibration frequency of 6Hz. The average digging resistance of the bionic shovel is 3612.86N, and the bionic digging shovel reduces resistance by 17.76% relative to an ordinary flat shovel, and 21.09% relative to the plane triangle shovel. The effect of drag reduction is remarkable, and the structure of the digging shovel bionic is reasonable, which can satisfy the requirements of resistance reduction and consumption reduction of potato harvesting under the conditions of sticky and heavy soils.

Indexed as

BionicsCrops, AgriculturalSoilSolanum tuberosumAnimalsCatfishesEquipment DesignVibrationSoil

Identifiers

PMID39999094
PMCPMC11856321

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.