Evidence map›Paper›PMID 37514799›Full record

ArticleSensors (Basel, Switzerland)2023

A Novel Approach to Pod Count Estimation Using a Depth Camera in Support of Soybean Breeding Applications.

Jithin Mathew, Nadia Delavarpour, Carrie Miranda, John Stenger, Zhao Zhang, Justice Aduteye, Paulo Flores

Open access · goldAbstract 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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 3 institutions in 3 countries.

Jithin MathewAgricultural and Biosystems Engineering Department, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-7577-0232
Nadia DelavarpourAgricultural and Biosystems Engineering Department, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-7141-7415
Carrie MirandaDepartment of Plant Sciences, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-7535-3404
John StengerNorth Dakota Agricultural Weather Network, School of Natural Resource Sciences, North Dakota State University, Fargo, ND 58105, USA.
Zhao ZhangCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China.
Justice AduteyeDepartment of Agronomy, Earth University, San Jose 4442-1000, Costa Rica.
Paulo FloresAgricultural and Biosystems Engineering Department, North Dakota State University, Fargo, ND 58105, USA.ORCID 0000-0002-3964-6904
North Dakota State University · USChina Agricultural University · CNEarth University · CR

Funding

United States Department of Agriculture 58-6064-8-023
6 · The paper itself

Abstract

Improving soybean (

Indexed as

Glycine maxPlant Breedingbackground segmentationcomputer visiondeep learningdepth camerahigh throughput phenotypingmachine visionsoybean pod-counting

Identifiers

PMID37514799
PMCPMC10384073
OpenAlexW4384825161

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.