Evidence map›Paper›PMID 31817334›Full record

ArticleSensors (Basel, Switzerland)2019

Deployment of Lidar from a Ground Platform: Customizing a Low-Cost, Information-Rich and User-Friendly Application for Field Phenomics Research.

John T Heun, Said Attalah, Andrew N French, Kevin R Lehner, John K McKay, Jack L Mullen, Michael J Ottman, Pedro Andrade-Sanchez

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
0.1field-weighted citation impact, top 51% of its field
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, 4 citations in OpenAlex.

  1. Article
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 at 4 institutions in 1 country.

John T HeunMaricopa Agricultural Center, University of Arizona, Maricopa, AZ 85138, USA.
Said AttalahSchool of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA.
Andrew N FrenchUSDA-ARS US Arid-Land Agricultural Research Center, Maricopa, AZ 85138, USA.
Kevin R LehnerDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, Fort Collins, CO 80523, USA.
John K McKayDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, Fort Collins, CO 80523, USA.
Jack L MullenDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, Fort Collins, CO 80523, USA.
Michael J OttmanSchool of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA.
Pedro Andrade-SanchezDepartment of Biosystems Engineering, University of Arizona, Tucson, AZ 85721, USA.
Colorado State University · USUniversity of Arizona · USMaricopa Medical Center · USU.S. Arid Land Agricultural Research Center · US

Funding

Advanced Research Projects Agency - Energy DE-AR0000826
6 · The paper itself

Abstract

Using sensors and electronic systems for characterization of plant traits provides valuable digital inputs to support complex analytical modeling in genetics research. In field applications, frequent sensor deployment enables the study of the dynamics of these traits and their interaction with the environment. This study focused on implementing lidar (light detection and ranging) technology to generate 2D displacement data at high spatial resolution and extract plant architectural parameters, namely canopy height and cover, in a diverse population of 252 maize (

Indexed as

GWASlidarmaizephenotyping

Identifiers

PMID31817334
PMCPMC6960510
OpenAlexW2992806679

What OpenQuestion holds

Textmetadata
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.