Abstract
Seed phenotyping is the process of typing, determining, identifying and dividing seeds, as a breeding material, according to its morphological and marker features. Technical and technological support of the process of automatic phenotyping of seeds is based on algorithms and methods for processing images of seeds. The aim of the research is to increase the efficiency of the sunflower breeding and seed process by developing and using a device for automatic phenotyping of seed material. An algorithm for identifying and calculating the geometric dimensions and color of seeds, on which the device for automatic phenotyping of sunflower seed is based, has been developed and experimentally verified. The specified algorithm is implemented in software that uses OpenCV libraries. The software allows identification of sunflower seeds by its geometric dimensions (length L, width B and their ratio) in the HSV color space and histograms of the distribution of colors of the RGB region of the seed. A device has been developed for automatic phenotyping of seeds, which preserves the accuracy of individual measurement of the geometric dimensions of sunflower seeds, determining their shape and color corresponding to modern measuring tools, and provides low labor intensity and high manufacturability of the implementation of the procedure of phenotyping seeds as a selection material, according to its morphological and marker features.
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