Vibrations in engineering and technology

Aliyev   Yelchin  BakhtiyarOgly – Ph.D., head of the department of technological and technological support of seedling of the Institute of oil seeds of Ukraine, (Institutskaya St. 1, Sonyachne village, Zaporozhye district, Zaporozhye region, Ukraine, 70417, e-mail: aliev@meta.ua).

Yaropud Vitaliy – Candidate of Technical Sciences, Associate Professor of the Department of machinery and equipment for agricultural production of Vinnytsia National Agrarian University (St. Soniachna, 3, Vinnytsia, Ukraine, 21008, e-mail: yaropud77@gmail.com).

The shape and size of seeds are some of the most important agronomic traits, as they affect yield, quality and market price. Therefore, such branches of science as genetics, functional analysis, and genomics, which contribute to increasing yields, study programs for crossing plants with various morphological and marker characters. Therefore, there is a need for effective, reliable and high-performance methods of seed phenotyping. The shape of the seeds can be evaluated in two ways. A simple way is to measure the length and width of seeds using a hand-held measuring tool (ruler, caliper, micrometer, etc.). However, manual methods limit the amount of data, the quality of measurements, and the variety of forms. On the contrary, computational methods using digital imaging technology can make it possible to automatically measure various shape parameters at very small sizes in high-resolution images. The aim of the research is to substantiate the algorithm and develop appropriate software for determining the fractional composition of seeds from a photo image. As a result of the studies, a justified algorithm was developed and the corresponding software was developed for determining the fractional composition of seeds from photo images based on its conversion from 24-bit (full color) to 1-bit (black and white) using the segmentation method, processing based on morphological operations and with using the Kenny border detector and the Hough transform to automatically determine the contour of each seed in a 1-bit image, followed by calculating the length L, width B, area S, and perimeter length P seed

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