Evidence map›Paper›PMID 37174343›Full record

ArticleFoods (Basel, Switzerland)2023

Discrimination of Inner Injury of Korla Fragrant Pear Based on Multi-Electrical Parameters.

Jing An, Xiuzhi Luo, Lijian Xiong, Xiuying Tang, Haipeng Lan

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Jing AnCollege of Engineering, China Agricultural University, Beijing 100083, China.
Xiuzhi LuoCollege of Engineering, China Agricultural University, Beijing 100083, China.
Lijian XiongCollege of Engineering, China Agricultural University, Beijing 100083, China.
Xiuying TangCollege of Engineering, China Agricultural University, Beijing 100083, China.
Haipeng LanCollege of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China.ORCID 0000-0001-7042-0957

Funding

Tarim University President Fund Project TDZKCQ201902Xin Jiang Production and Construction Corps Strong Youth Science and Technology Innovation Key Talents Project 2021CB039
6 · The paper itself

Abstract

Inner-injury fragrant pears are easily prone to rot during storage. Discriminating inner injury in the Korla fragrant pear from the normal pear is difficult as the flesh may be injured while the peel of the fruit remains intact. This study demonstrated the recognition of inner-injury pears based on their electric characteristics to pick out the inner-injury pears before storage. The electrical parameters parallel equivalent capacitance, quality factor, parallel equivalent inductance, parallel equivalent resistance, complex impedance, and phase angle were measured using the fruit electrical characteristic detection instrument. Principal component analysis and correlation analysis were used to determine the characteristic parameters, connected with the qualitative value of the fragrant pear to establish three discrimination models. When the measurement frequency was 100 kHz, compared with the Naïve Bayes and K-nearest neighbor models, the Support Vector Machine model with the characteristic parameters of quality factor, parallel equivalent resistance, and phase angle performed best. The recognition accuracy of the test set was 92.00%, the precision was 92.41%, the recall was 97.33%, and the F

Indexed as

correlation analysiselectrical characteristic parametersinner injuryKorla fragrant pearprincipal component analysissupport vector machine

Identifiers

PMID37174343
PMCPMC10177895

What OpenQuestion holds

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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.