Evidence map›Paper›PMID 36236327›Full record

ArticleSensors (Basel, Switzerland)2022

Precision Seeding Compensation and Positioning Based on Multisensors.

Jiaze Sun, Yan Zhang, Yuting Zhang, Peize Li, Guifa Teng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiaze SunSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Yan ZhangSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Yuting ZhangSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Peize LiSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.
Guifa TengSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China.

Funding

Science and Technology Development of Hebei 19227210D
6 · The paper itself

Abstract

The current multi-row planter always leads to uneven seeding spacing between rows while seeding in curve paths, which causes uneven growth, a cost increase of production and management, and reduced yield. With the development of smart farming technology, a curve seeding compensation and precise positioning model is proposed in the paper to calculate the real-time speed and position of each seeding unit based on the information from multisensors, such as GNSS and IMU, and to predict the next seeding position to achieve uniform seeding on the curve and improve the unit yield of crops. MATLAB Simulink simulation experiments show that the seeding pass rate of the model is 99.97% when the positioning accuracy is ±0.01 m and the traction speed is 1 m/s, and the seeding pass rate of the five-row seeder is as high as 99.81% when the traction speed is 3 m/s, which verifies the effectiveness and practicality of the model.

Indexed as

AgricultureCrops, Agriculturalcurve seeding compensationmultisensorsseeding positionsmart farming

Identifiers

PMID36236327
PMCPMC9572168

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.