Detection and Classification of Bruises on ‘ Red Delicious’ Apples Using Active Thermography

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HAJALIOGHLI ZAHRA; AHMADI MOGHADDAM PARVIZ

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Biosystems Engineering Year:2019 | Volume:50 | Issue:2 Page(s): 415-425

Download Full-Text

Persian Verion

View:

391

Download:

Cites:

Information Journal Paper

Title

Detection and Classification of Bruises on ‘ Red Delicious’ Apples Using Active Thermography

Author(s)

HAJALIOGHLI ZAHRA | AHMADI MOGHADDAM PARVIZ | Issue Writer Certificate

Keywords

AppleQ2

BruisesQ2

ThermographyQ1

Artificial Neural NetworkQ2

Abstract

Identifying and sorting healthy agricultural products from damaged products reduces casualties and losses caused by the spread of disease to unhealthy samples. Due to Iran's insignificant contribution to agricultural exports, the use of non-destructive methods, such as Thermography in the sorting and grading of the fruit, is necessary. In this research, active Thermography method was used to identify the Red delicious cultivars of Apple. In order to study the temperature variations of Apples, used a factorial experiment was conducted in a randomized complete design with three independent variables including Bruises, heating temperature and cooling time. The results of variance analysis of surface temperature of healthy and bruise Apples showed that the levels of Bruises, heating temperature and cooling time on the surface temperature of Bruises Apples had a significant effect at 1% probability. Statistical and texture features were extracted from thermal images and the Artificial Neural Network method was used to classify two healthy classes and bruised. Neural network accuracy with a hidden layer and 15 neurons was obtained 100%. The results indicate that the difference in temperature of the bruised and sound tissue can be considered as a criterion for the classification of Apples. Also, Active Thermography is an efficient and high-tech method for detecting Apple Bruises.

Cites

No record.

References

No record.

Cite

Related Journal Papers