Evidence map›Paper›PMID 38903436›Full record

ArticleFrontiers in plant science2024

Calibrating ultrasonic sensor measurements of crop canopy heights: a case study of maize and wheat.

Yudong Zheng, Xin Hui, Dongyu Cai, Muhammad Rizwan Shoukat, Yunling Wang, Zhongwei Wang, Feng Ma, Haijun Yan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. 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
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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.

Yudong ZhengCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Xin HuiCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Dongyu CaiCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Muhammad Rizwan ShoukatCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Yunling WangCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Zhongwei WangCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Feng MaCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.
Haijun YanCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canopy height serves as an important dynamic indicator of crop growth in the decision-making process of field management. Compared with other commonly used canopy height measurement techniques, ultrasonic sensors are inexpensive and can be exposed in fields for long periods of time to obtain easy-to-process data. However, the acoustic wave characteristics and crop canopy structure affect the measurement accuracy. To improve the ultrasonic sensor measurement accuracy, a four-year (2018-2021) field experiment was conducted on maize and wheat, and a measurement platform was developed. A series of single-factor experiments were conducted to investigate the significant factors affecting measurements, including the observation angle (0-60°), observation height (0.5-2.5 m), observation period (8:00-18:00), platform moving speed with respect to the crop (0-2.0 m min

Indexed as

calibration modecanopy heightmaizenormalized difference vegetative indexultrasonic sensorwheat

Identifiers

PMID38903436
PMCPMC11188359

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.