Evidence map›Paper›PMID 34960287›Full record

ArticleSensors (Basel, Switzerland)2021

HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.

Tian Gao, Anil Kumar Nalini Chandran, Puneet Paul, Harkamal Walia, Hongfeng Yu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

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  8. RiceFrontiers in plant science · 2022
    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

5 authors at 1 institution in 1 country.

Tian GaoSchool of Computing, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0003-4075-4125
Anil Kumar Nalini ChandranDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Puneet PaulDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.ORCID 0000-0001-8220-8021
Harkamal WaliaDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.ORCID 0000-0002-9712-5824
Hongfeng YuSchool of Computing, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-0596-8227
University of Nebraska–Lincoln · US

Funding

National Science Foundation 1736192
6 · The paper itself

Abstract

High-throughput, nondestructive, and precise measurement of seeds is critical for the evaluation of seed quality and the improvement of agricultural productions. To this end, we have developed a novel end-to-end platform named

Indexed as

Neural Networks, ComputerOryzaSpectrum AnalysisSupport Vector Machine3D convolutional neural network (CNN)high-throughput seed phenotypinghyperspectral analysishyperspectral imaging systemlight gradient boosting machine (LightGBM)phenotyping softwareseed heat stresssupport vector machine (SVM)

Identifiers

PMID34960287
PMCPMC8703337
OpenAlexW4200590595

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.