Classification of Strawberry Based on Maturity Rate and Size Using Machine Vision

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.

HOSSEINZADEH RENDI AMIN; KHODAEI JALAL; Behroozi Khazaei Nasser

Educational Videos and Scientific Workshops

Scientific Information Database

ISSN: 2588-4824

Journal Paper

Paper Information

Journal: Iranian Journal of Biosystems Engineering Year:2019 | Volume:50 | Issue:1 Page(s): 145-154

Download Full-Text

Persian Verion

View:

466

Download:

Cites:

Information Journal Paper

Title

Classification of Strawberry Based on Maturity Rate and Size Using Machine Vision

Author(s)

HOSSEINZADEH RENDI AMIN | KHODAEI JALAL | Behroozi Khazaei Nasser | Issue Writer Certificate

Keywords

Artificial neural networkQ2

Image processingQ2

Sensitivity analysisQ2

Total solid solubleQ2

Abstract

In this article a machine vision system and an Artificial neural network (ANN) for classifying the strawberry based on maturity and shape features were used. First an Image processing algorithm for extracting the color and shape features was investigated and then for grading the strawberry into three classes based on shape features and three classes of maturity based on colors features were done. The Sensitivity analysis indicated that shape grading had highest sensitive to area, parameter, large and minor diameters features. Also a* and S color features had better correlation coefficient than other color features with Total solid soluble and therefore were selected as supreme features for grading the strawberry based on maturity. Finally, results demonstrated that the ANN was able to classify with 94. 04 and 95. 14 total accuracy rate for shape and maturity grading.

Cites

No record.

References

No record.

Cite

APA: Copy

HOSSEINZADEH RENDI, AMIN, KHODAEI, JALAL, & Behroozi Khazaei, Nasser. (2019). Classification of Strawberry Based on Maturity Rate and Size Using Machine Vision. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 50(1 ), 145-154. SID. https://sid.ir/paper/144540/en

Vancouver: Copy

HOSSEINZADEH RENDI AMIN, KHODAEI JALAL, Behroozi Khazaei Nasser. Classification of Strawberry Based on Maturity Rate and Size Using Machine Vision. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2019;50(1 ):145-154. Available from: https://sid.ir/paper/144540/en

IEEE: Copy

AMIN HOSSEINZADEH RENDI, JALAL KHODAEI, and Nasser Behroozi Khazaei, “Classification of Strawberry Based on Maturity Rate and Size Using Machine Vision,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 50, no. 1 , pp. 145–154, 2019, [Online]. Available: https://sid.ir/paper/144540/en

Related Journal Papers

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops

Download

Move to top

وبگردی