Evidence map›Paper›PMID 37631623›Full record

ArticleSensors (Basel, Switzerland)2023

An Ultrasonic RF Acquisition System for Plant Stems Based on Labview Double Layer Multiple Triggering.

Xin Huang, Danju Lv, Rui Xi, Mingyuan Gao, Ziqian Wang, Lianglian Gu, Wei Li, Yan Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

8 authors.

Xin HuangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.ORCID 0000-0002-7535-8803
Danju LvCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Rui XiCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Mingyuan GaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Ziqian WangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Lianglian GuCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Wei LiCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Yan ZhangSchool of Mathematics and Physics, Southwest Forestry University, Kunming 650224, China.

Funding

National Natural Science Foundation of China 31860332
6 · The paper itself

Abstract

Ultrasound is widely used in medical and engineering inspections due to its non-destructive and easy-to-use characteristics. However, the complex internal structure of plant stems presents challenges for ultrasound testing. The density and thickness differences in various types of stems can cause different attenuation of ultrasonic signal propagation and the formation of different echo locations. To detect structural changes in plant stems, it is crucial to acquire complete ultrasonic echo RF signals. However, there is currently no dedicated ultrasonic RF detection equipment for plant stems, and some ultrasonic acquisition equipment has limited memory capacity that cannot store a complete echo signal. To address this problem, this paper proposes a double-layer multiple-timing trigger method, which can store multiple trigger sampling memories to meet the sampling needs of different plant stems with different ultrasonic echo locations. The method was tested in experiments and found to be effective in acquiring complete ultrasonic RF echo signals for plant stems. This approach has practical significance for the ultrasonic detection of plant stems.

Indexed as

data acquisitiondouble layer multiple triggeringLabVIEWplant stem bodyultrasonic RF

Identifiers

PMID37631623
PMCPMC10459184

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.