Research Progress of Data Fusion Technology in Nondestructive Testing of Fruit Quality

In fruit quality non-destructive testing, information derived from a single data source often falls short in providing a comprehensive representation of the subject under scrutiny, resulting in lower accuracy in detection. Integrating multiple data sources through data fusion allows for a more compr...

Full description

Saved in:
Bibliographic Details
Published inShipin gongye ke-ji Vol. 45; no. 22; pp. 1 - 8
Main Authors Yang MU, An SUN
Format Journal Article
LanguageChinese
Published The editorial department of Science and Technology of Food Industry 01.11.2024
Subjects
data fusion
fruit
nondestructive examination
quality
spectrum
Online AccessGet full text

Cover

More Information
Summary:In fruit quality non-destructive testing, information derived from a single data source often falls short in providing a comprehensive representation of the subject under scrutiny, resulting in lower accuracy in detection. Integrating multiple data sources through data fusion allows for a more comprehensive information set, enhancing the precision of the assessment to a certain extent. Currently, data fusion techniques are widely adopted in evaluating various aspects of fruits, holding promising prospects for further development. The article summarizes the methods, characteristics, and applications of data fusion in fruit assessment, and anticipates the future trends of this technology in the fruit detection domain by combining existing research findings.
ISSN:1002-0306
DOI:10.13386/j.issn1002-0306.2023100141