Textile Journal of Uzbekistan


The article presents the data of research on the development of software sorting device division of silkworm eggs by color, designed to produce 100% pure, not clogged with the original breeds of mulberry silkworm, to produce cocoons giving cocoon thread with high technological performance. The study and analysis showed that the separation of silkworm eggs is better carried out by piece-oriented feeding it to the recognition zone, developed on the basis of computer vision using a high-speed web camera. It is also proposed to use a single-Board computer Arduino UNO R3 as a hardware platform. The developed hardware and software for the analysis and processing of data on determination of color of a eggs of a silkworm of the developed device on a stationary platform is described. The principle of operation, source codes of programs and schemes of the device are given. A model of the device for determining the color and number of silkworm eggs was created. On the Executive mechanism of the device signals are supplied, the number of which corresponds to the number of detected dark color silkworm eggs in the stationary image, for further development of the program for the device to determine the color and number of silkworm eggs on the moving platform.


1. Strunnikov V.A. Ispolzovanie geneticheskix metodov v selektsii tutovogo shelkopryada. //Sb.nauch.tr.SANIISh, yubileyny vpusk. - Tashkent, Fan, 1971. – S.40-48. 2. Larkina Ye.A, Abdukayumova N. Perspektiv ispolzovaniya mechenx po polu na stadii gren porod mirovoy kollektsii tutovogo shelkopryada. //J. Molodoy ucheny. - Moskva, 2018, №50, ch1. – S.52 3. Ivanova, V.N. Seregin S.N. Piщevaya promshlennost Rossii. Sovremennoe sostoyanie, problem, orientir buduщego razvitiya: ucheb. posobie / - M: Finans i statistika, 2013. - 568 s. 4. V.N. Ivanova, S.N. Seregin, Ye.A. Kulikova. Modernizatsiya otrasley piщevoy promshlennosti v realizatsii programmnx meropriyatiy texnologicheskoy platform «Xranenie i pererabotka-2030» // Ekonomika selskoxozyaystvennx i pererabatvayuщix predpriyatiy. - 2013. - № 5. - S. 15-20. 5. Gujjar, H.S. and Siddappa, D.M. (2013) A Method for Identification of Basmati Rice grain of India and Its Quality Using Pattern Classification. Vol. 3, Issue 1 edn. (Gujjar and Siddappa, 2013, pp. 268–273) 6. Kiruthika, R., Muruganand, S. and Periasamy, A. (2013) ‘MATCHING OF DIFFERENT RICE GRAINS USING DIGITAL IMAGE PROCESSING’, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2(2278 – 8875), pp. 2937–2941. 7. Myasnyankin K.V. Primenenie fotoseparatora dlya ochistki grechixi // Aktualne napravleniya nauchnx issledovaniy XXI veka. Teoriya i praktika: sb. nauchnx issledovaniy po materialam mejdunarodnoy zaochnoy nauch.-prakt. konf. - Voronej : FGBOU VPO VgLtA, 2014. - № 3. - Ch. 4 (8-4). - S. 439-442. 8. Boehnke, K., Otesteanu, M., Roebrock, P., Winkler, W. and Neddermeyer W. //Neural network based object recognition using color block matchin, Insbruck, Austria: (2007) pp. 122–125. 9. Arefi, A., Motlagh, A.M. and Teimourlou, R.F. //Wheat class identification using computer vision system and artificial neural networks. Institute of Agrophysics, Polish Academy of Sciences. (Arefi, Motlagh, and Teimourlou, 2011, pp. 319–325) 10. Petin V.A. Arduino i Raspberry Pi v proektax Internet of Things. — S-Pb.: BXV-Peterburg, 2016. 11. EtherCard is an IPv4 driver for the ENC28J60 chip, compatible with Arduino IDE [Elektronny resurs] / - Rejim dostupa: ьь ь- 12. Proteus 8.6 Free Download [Elektronny resurs] / - Rejim dostupa: https://proteus.soft112.com/ 13. Connecting Arduino to Processing a learn.sparkfun.com tutorial [Elektronny resurs] / - Rejim dostupa: 2* 8 + 14. Sreda Processing. Download / Processing.org [Elektronny resurs] / - Rejim dostupa: https://processing.org/download/ 15. Opencv-processing / ImageFilteringWithBlobPersistence.pde [Elektronny resurs] / - Rejim dostupa: https://github.com/atduskgreg/opencv-processing/blob/master/examples/ImageFiltering WithBlobPersistence/ImageFilteringWithBlobPersistence.pde.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.