Evidence map›Paper›PMID 37484474›Full record

ArticleFrontiers in plant science2023

Structural optimization method of rice precision direct seed-metering device based on multi-index orthogonal experimental.

Hanqing Li, Lin Ling, Changkai Wen, Huaiyu Liu, Guangwei Wu, Xiaofei An, Zhijun Meng, Bingxin Yan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Hanqing LiIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Lin LingIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Changkai WenIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Huaiyu LiuIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Guangwei WuIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Xiaofei AnIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Zhijun MengIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Bingxin YanIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To improve the mechanization level of rice planting, a new type of direct seeding device for rice was designed. The device's structural properties will be crucial in determining its seeding performance. Structure optimization in the current seed metering device design process focuses on a single or few indexes, resulting in improved individual performance but imbalanced overall performance. Therefore, a structure optimization method of the direct seeding device based on a multi-index orthogonal experiment was proposed in this study. Methods: First, the DEM-MBD coupling method observed the factors and levels that affected the performance overall. Second, a test platform based on the electric drive control model was constructed, and a multi-index orthogonal test was devised. Finally, the structural parameters of the seed metering devices were optimized based on matrix analysis. Results: From the results, the primary and secondary levels of significance of factors were just as follows: hole diameter > hole number > adjustment angle. The following are the optimal parameters found by optimization analysis: the diameter of the hole was 12 mm, the number of holes was 10, and the adjustment angle was 80°. Validation tests were carried out and analyzed based on the optimal structural parameter combination. The qualification rate of seeds per hole, empty hole rate, average seed number, coefficient of variation of seed number, average hole spacing, and the variance coefficient of hole spacing are 93.07%, 0%, 9.39,14.04%, 22.84 cm, and 9.14%, respectively. Discussion: In comparison to traditional design and structural parameter optimization methods for rice precision seed metering device, this study not just to provides an optimization scheme for improving the overall performance of rice precision seed metering device, but also serves as a technical reference for the development and design of new rice precision seed metering device.

Indexed as

comprehensive optimizationmatrix analysisprecision seed metering devicericestructural parameters

Identifiers

PMID37484474
PMCPMC10359481

What Socratic holds

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LicenceCC BY
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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 Socratic graph.