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Year 2023, Volume: 37 Issue: 1, 145 - 154, 23.04.2023

Abstract

Measurement of Projected Areas in Some Confectionery Sunflowers (Helianthus annuus L.) Seeds by Image Processing Technique

Year 2023, Volume: 37 Issue: 1, 145 - 154, 23.04.2023

Abstract

This study aimed to demonstrate the practical and low-cost usability of image processing techniques in agricultural grain products by making a sample application in confectionery sunflower seeds. A desktop scanner and an open source software ImageJ were used. Local sunflower cultivars, which were obtained from Manisa, Denizli and Kayseri provinces, were used as a material. After the seeds were scanned with a scanner, their projected areas were calculated in 2D with ImageJ software. Afterward, the dimensions of the seeds were measured with a precision scale and caliper to compare with their projected areas. As a result of the statistical analysis, very high correlations could not be reached between the calculated projected areas and the other measured dimensions. Seed weight, seed length, seed width and hull weight were found to be highly or moderately correlated with the projected area values in all three seed types. Research findings show that the most important reason for not finding very high correlations was the use of local cultivars and the low level of seed purity.

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Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Research Article
Authors

Muhittin Yağmur Polat This is me

Akın Özcan This is me

Selim Uygun This is me

Oğuzhan Aydin

Publication Date April 23, 2023
Submission Date December 26, 2022
Published in Issue Year 2023 Volume: 37 Issue: 1

Cite

EndNote Polat MY, Özcan A, Uygun S, Aydin O (April 1, 2023) Measurement of Projected Areas in Some Confectionery Sunflowers (Helianthus annuus L.) Seeds by Image Processing Technique. Selcuk Journal of Agriculture and Food Sciences 37 1 145–154.

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