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addClaim

CONVOLUTIONAL NEURAL NETWORK FOR CLASSIFICATION OF COTTON BY DEGREE OF OPENING

Authors: Azizjon Abdullaugli Abdulkhamidov;

CONVOLUTIONAL NEURAL NETWORK FOR CLASSIFICATION OF COTTON BY DEGREE OF OPENING

Abstract

{"references": ["\u0421\u0443\u0440\u043d\u0438\u043d\u0430 \u0410.\u041e.(2017). \u042d\u043b\u0435\u043c\u0435\u043d\u0442\u044b \u0433\u043b\u043e\u0431\u0430\u043b\u044c\u043d\u043e\u0439 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438. Academy, (3 (18)), 32-36", "\u0410\u043d\u043e\u0445\u0438\u043d, \u041c. \u0410. (2014). \u041c\u0435\u0442\u043e\u0434 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u0434\u0432\u0438\u0436\u043d\u044b\u0445 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u043f\u043e \u0438\u0445 \u0432\u0438\u0434\u0435\u043e\u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u043c. \u0412\u043e\u0441\u0442\u043e\u0447\u043d\u043e-\u0415\u0432\u0440\u043e\u043f\u0435\u0439\u0441\u043a\u0438\u0439 \u0436\u0443\u0440\u043d\u0430\u043b \u043f\u0435\u0440\u0435\u0434\u043e\u0432\u044b\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439, 4 (9 (70)), 33-37", "\u0420\u043e\u0433\u0430\u043b\u044c \u0410.\u0410.(2016). \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0432 \u0437\u0430\u0434\u0430\u0447\u0435 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. IN SITU, (6), 13-17", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. (2022) \u041e\u0431\u0437\u043e\u0440 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0445\u043b\u043e\u043f\u043a\u0430 \u0432 \u043f\u043e\u043b\u0435\u0432\u044b\u0445 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u0434\u043b\u044f \u0445\u043b\u043e\u043f\u043a\u043e\u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0439 \u043c\u0430\u0448\u0438\u043d\u044b \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f, \u0421\u0431\u043e\u0440\u043d\u0438\u043a \u0440\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0430\u043d\u0441\u043a\u043e\u0439 \u043d\u0430\u0443\u0447\u043d\u043e-\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 \u043d\u0430 \u0442\u0435\u043c\u0443 \u00ab\u0426\u0438\u0444\u0440\u043e\u0432\u044b\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438: \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0432 \u0441\u0444\u0435\u0440\u0430\u0445\u00bb \u0422\u0423\u0418\u0422 \u0438\u043c\u0435\u043d\u0438 \u041c\u0443\u0445\u0430\u043c\u043c\u0430\u0434\u0430 \u0430\u043b-\u0425\u043e\u0440\u0430\u0437\u043c\u0438, \u0422\u0430\u0448\u043a\u0435\u043d\u0442, 182-185", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. \u041a \u0432\u043e\u043f\u0440\u043e\u0441\u0443 \u0432\u044b\u0431\u043e\u0440\u0430 \u043a\u0430\u043c\u0435\u0440\u044b \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0445\u043b\u043e\u043f\u043a\u0430-\u0441\u044b\u0440\u0446\u0430. \u0421\u0431\u043e\u0440\u043d\u0438\u043a \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0441\u0442\u0430\u0442\u0435\u0439 XXVI \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u043e\u0439 \u043d\u0430\u0443\u0447\u043d\u043e-\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 \u00ab\u0418\u043d\u043d\u043e\u0432\u0430\u0446\u0438\u044f-2022\u00bb, \u0422\u0430\u0448\u0413\u0422\u0423. \u0426\u0435\u043d\u0442\u0440 \u0441\u0442\u0440\u0430\u0442\u0435\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0438\u043d\u043d\u043e\u0432\u0430\u0446\u0438\u0439 \u0438 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438, 255-257", "\u0423\u043b\u0436\u0430\u0435\u0432, \u042d., \u0423\u0431\u0430\u0439\u0434\u0443\u043b\u043b\u0430\u0435\u0432, \u0423., & \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432, \u0410. (2021). \u0412\u044b\u0431\u043e\u0440 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0438 \u0434\u0430\u0442\u0447\u0438\u043a\u043e\u0432 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0448\u0438\u0440\u0438\u043d\u044b \u043c\u0435\u0436\u0434\u0443 \u043f\u0435\u0440\u0435\u043c\u0435\u0449\u0430\u044e\u0449\u0438\u043c\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432. InterConf, (56)", "\u0421\u0438\u0434\u0434\u0438\u043a\u043e\u0432 \u0418.\u0425., \u041f\u043e\u0440\u0443\u0431\u0430\u0439 \u041e.\u0412., \u041b\u0430\u0437\u0430\u0440\u0435\u0432\u0430 \u041c.\u0412. & \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410.\u0410 (2020). \u0422\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u0438 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u044f \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043f\u0440\u0438 \u043f\u0440\u0438\u043d\u044f\u0442\u0438\u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0447\u0435\u0441\u043a\u0438\u0445 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0432 \u0423\u0437\u0431\u0435\u043a\u0438\u0441\u0442\u0430\u043d\u0435. Universum: \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043d\u0430\u0443\u043a\u0438, (2-1 (71)), 10-13", "\u0423\u043b\u0436\u0430\u0435\u0432, \u042d., \u0423\u0431\u0430\u0439\u0434\u0443\u043b\u043b\u0430\u0435\u0432, \u0423. & \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432, \u0410. (2021). \u0410\u043d\u0430\u043b\u0438\u0437 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u0438 \u0440\u0435\u0433\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0448\u0438\u0440\u0438\u043d\u044b \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u0449\u0435\u043b\u0435\u0439 \u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u0430 \u0445\u043b\u043e\u043f\u043a\u043e\u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0439 \u043c\u0430\u0448\u0438\u043d\u044b \u0441 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u043c \u0448\u043f\u0438\u043d\u0434\u0435\u043b\u0435\u043c. InterConf, (48). \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043e \u0438\u0437 https://ojs.ukrlogos.in.ua/index.php/interconf/article/view/11060", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. (2023) \u0418\u0437\u043c\u0435\u0440\u0435\u043d\u0438\u0435 \u0448\u0438\u0440\u0438\u043d\u044b \u043a\u0443\u0441\u0442\u043e\u0432 \u0445\u043b\u043e\u043f\u0447\u0430\u0442\u043d\u0438\u043a\u0430 \u0441 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u043c \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043e\u0431\u043e\u0441\u043d\u043e\u0432\u0430\u043d\u0438\u044f, \u041d\u0430\u0443\u0447\u043d\u043e\u2013\u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0436\u0443\u0440\u043d\u0430\u043b \u0424\u0435\u0440\u0433\u0430\u043d\u0441\u043a\u043e\u0433\u043e \u043f\u043e\u043b\u0438\u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0438\u043d\u0441\u0442\u0438\u0442\u0443\u0442\u0430, \u0441\u043f\u0435\u0446. \u0432\u044b\u043f\u0443\u0441\u043a (2), 248-251", "\u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410., \u0423\u043b\u0436\u0430\u0435\u0432 \u042d. \u041e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0441\u0442\u0435\u043f\u0435\u043d\u0438 \u0440\u0430\u0441\u043a\u0440\u044b\u0442\u043d\u043e\u0441\u0442\u0438 \u0445\u043b\u043e\u043f\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u044b\u0440\u044c\u044f \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f. \u0417\u0430\u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043d \u0432 \u0413\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u043c \u0440\u0435\u0435\u0441\u0442\u0440\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0420\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0438 \u0423\u0437\u0431\u0435\u043a\u0438\u0441\u0442\u0430\u043d \u2116 DGU 23492, 18.03.2023 \u2013 \u0433\u043e\u0434", "\u0410\u0440\u0442\u0435\u043c\u044c\u0435\u0432 \u0410. \u0410., \u041a\u0430\u0437\u0430\u0447\u043a\u043e\u0432 \u0415. \u0410., \u041c\u0430\u0442\u044e\u0433\u0438\u043d \u0421. \u041d., & \u0428\u0430\u0440\u043e\u043d\u043e\u0432 \u0412. \u0412. (2020). \u041a\u043b\u0430\u0441\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f \u043d\u0430\u0434\u0432\u043e\u0434\u043d\u044b\u0445 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445 \u0432\u0438\u0434\u0438\u043c\u043e\u0433\u043e \u043e\u043f\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d\u0430. \u0412\u0435\u0441\u0442\u043d\u0438\u043a \u041a\u043e\u043d\u0446\u0435\u0440\u043d\u0430 \u0412\u041a\u041e \u0410\u043b\u043c\u0430\u0437-\u0410\u043d\u0442\u0435\u0439, (1 (32)), 87-95", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. (2022) \u0412\u044b\u0431\u043e\u0440 \u043a\u0430\u043c\u0435\u0440\u044b \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u0445\u043b\u043e\u043f\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u044b\u0440\u044c\u044f \u0438 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u0430 \u0440\u0430\u0431\u043e\u0447\u0435\u0439 \u0449\u0435\u043b\u0438 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u043e-\u0448\u043f\u0438\u043d\u0434\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0445\u043b\u043e\u043f\u043a\u043e\u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u043a\u043e\u043c\u0431\u0430\u0439\u043d\u0430 \u043f\u043e \u0432\u044b\u0445\u043e\u0434\u043d\u043e\u043c\u0443 \u0441\u0438\u0433\u043d\u0430\u043b\u0443 \u0441 \u043a\u0430\u043c\u0435\u0440\u044b. \u00ab\u0420\u043e\u043b\u044c \u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u0436\u0438\u0437\u043d\u0438 \u0438 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u043d\u0430\u0443\u043a \u0432 \u0432\u043e\u0441\u043f\u0438\u0442\u0430\u043d\u0438\u0438 \u0437\u0440\u0435\u043b\u043e\u0433\u043e \u043f\u043e\u043a\u043e\u043b\u0435\u043d\u0438\u044f: \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0438 \u043f\u0435\u0440\u0441\u043f\u0435\u043a\u0442\u0438\u0432\u044b\u00bb \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u0430\u044f \u043d\u0430\u0443\u0447\u043d\u043e-\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u044f. \u0410\u043d\u0434\u0438\u0436\u0430\u043d\u0441\u043a\u0438\u0439 \u043c\u0430\u0448\u0438\u043d\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0438\u043d\u0441\u0442\u0438\u0442\u0443\u0442, 21-25", "\u0421\u0430\u043c\u043e\u0440\u043e\u043a\u043e\u0432\u0441\u043a\u0438\u0439 \u0410.\u0424. & \u0422\u043e\u043b\u0441\u0442\u044b\u0445 \u0410.\u0410. (2019). \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0434\u043b\u044f \u0432\u044b\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u043f\u0440\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u0442\u043e\u043f\u043e\u0433\u0440\u0430\u0444\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438. \u0412\u0435\u0441\u0442\u043d\u0438\u043a \u0412\u043e\u0440\u043e\u043d\u0435\u0436\u0441\u043a\u043e\u0433\u043e \u0438\u043d\u0441\u0442\u0438\u0442\u0443\u0442\u0430 \u041c\u0412\u0414 \u0420\u043e\u0441\u0441\u0438\u0438, (4), 90-99", "\u0423\u0437\u0434\u044f\u0435\u0432 \u041c.\u042e. (2020). \u0420\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0430\u0433\u0440\u0435\u0441\u0441\u0438\u0432\u043d\u044b\u0445 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0435\u0432\u044b\u0445 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440 3d-cnn. \u0418\u0437\u0432\u0435\u0441\u0442\u0438\u044f \u0422\u0443\u043b\u044c\u0441\u043a\u043e\u0433\u043e \u0433\u043e\u0441\u0443\u0434\u0430\u0440\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430. \u0422\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043d\u0430\u0443\u043a\u0438, (2), 316-330", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0423\u0431\u0430\u0439\u0434\u0443\u043b\u043b\u0430\u0435\u0432 \u0423., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410., \u041d\u0430\u0440\u0437\u0443\u043b\u043b\u0430\u0435\u0432 \u0428. (2022) Synthesis of the Optimal Structure of the Device for Control and Regulating the Working Gaps of the Picking Apparatus of a Vertical-Spindle Cotton Picking Machine. Springer, Cham, 116-124", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. (2022). \u0410\u043d\u0430\u043b\u0438\u0437 \u0440\u0430\u0431\u043e\u0442 \u043f\u043e \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044e \u0438 \u0440\u0435\u0433\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0430\u0431\u043e\u0447\u0435\u0439 \u0449\u0435\u043b\u0438 \u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u0430 \u0438 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044e \u043a\u043e\u043d\u0442\u0443\u0440\u0430 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u0443\u0435\u043c\u043e\u0433\u043e \u0445\u043b\u043e\u043f\u043a\u043e\u0432\u043e\u0433\u043e \u043f\u043e\u043b\u044f. \u0425\u0438\u043c\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044c \u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f. \u041c\u0435\u0436\u0434\u0443\u043d\u0430\u0440\u043e\u0434\u043d\u044b\u0439 \u043d\u0430\u0443\u0447\u043d\u043e-\u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0436\u0443\u0440\u043d\u0430\u043b, \u0422\u0430\u0448\u0413\u0422\u0423, 2(104). 44-51", "\u041a\u043b\u0435\u0445\u043e \u0414.\u042e., \u041a\u0430\u0440\u0435\u043b\u0438\u043d\u0430 \u0415.\u0411. & \u0411\u0430\u0442\u044b\u0440\u0435\u0432 \u042e.\u041f. (2021). \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0441\u0432\u0435\u0440\u0442\u043e\u0447\u043d\u044b\u0445 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0432 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f. \u041b\u0435\u0441\u043d\u043e\u0439 \u0432\u0435\u0441\u0442\u043d\u0438\u043a / Forestry bulletin, 25 (1), 140-145", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0423\u0431\u0430\u0439\u0434\u0443\u043b\u043b\u0430\u0435\u0432 \u0423., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410., \u042d\u0440\u043a\u0438\u043d\u043e\u0432 \u0421. (2021) \u0410\u043d\u0430\u043b\u0438\u0437 \u0438 \u0432\u044b\u0431\u043e\u0440 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0438 \u0434\u0430\u0442\u0447\u0438\u043a\u043e\u0432 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u0448\u0438\u0440\u0438\u043d\u044b \u0440\u0430\u0431\u043e\u0447\u0435\u0439 \u0449\u0435\u043b\u0438 \u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u0430 \u0425\u0423\u041c. Technical science and innovation, \u21163 (09), 207-216", "\u0423\u043b\u0436\u0430\u0435\u0432 \u042d., \u0410\u0431\u0434\u0443\u043b\u0445\u0430\u043c\u0438\u0434\u043e\u0432 \u0410. (2022). \u041e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f \u0438 \u0440\u0435\u0433\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0440\u0430\u0431\u043e\u0447\u0438\u0445 \u0449\u0435\u043b\u0435\u0439 \u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0433\u043e \u0430\u043f\u043f\u0430\u0440\u0430\u0442\u0430 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u043e-\u0448\u043f\u0438\u043d\u0434\u0435\u043b\u044c\u043d\u043e\u0439 \u0445\u043b\u043e\u043f\u043a\u043e\u0443\u0431\u043e\u0440\u043e\u0447\u043d\u043e\u0439 \u043c\u0430\u0448\u0438\u043d\u044b. \u0421\u0431\u043e\u0440\u043d\u0438\u043a \u043b\u0435\u043a\u0446\u0438\u0439 \u0440\u0435\u0441\u043f\u0443\u0431\u043b\u0438\u043a\u0430\u043d\u0441\u043a\u043e\u0439 \u043d\u0430\u0443\u0447\u043d\u043e-\u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 \u043d\u0430 \u0442\u0435\u043c\u0443 \u00ab\u0421\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435, \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u043e\u043d\u043d\u044b\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u044f \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f\u00bb, \u0421\u0430\u043c\u0430\u0440\u043a\u0430\u043d\u0434\u0441\u043a\u0438\u0439 \u0444\u0438\u043b\u0438\u0430\u043b \u0422\u0423\u0418\u0422 \u0438\u043c\u0435\u043d\u0438 \u041c\u0443\u0445\u0430\u043c\u043c\u0430\u0434\u0430 \u0430\u043b-\u0425\u043e\u0440\u0430\u0437\u043c\u0438, 149 -151"]}

This article describes the development of a cotton classification algorithm based on a convolutional neural network (CNN). The neural network consisted of convolutional layers, subsampling layers, and fully connected layers. The goal of this work was to classify cotton samples based on their degree of openness, while minimizing classification errors and achieving high accuracy. Data obtained by computer technology and image processing software were used in the algorithm creation process. The authors conducted a series of experiments with different CNN parameters and training sets to optimize the classification process. The final algorithm was tested on real cotton samples and demonstrated high classification accuracy. The results of this work confirm the effectiveness of using convolutional neural networks for cotton classification based on degree of openness. This article has practical value for controlling and regulating the technological parameters of a cotton-picking machine. It can also be useful for textile industry manufacturers, as well as for education in the fields of machine learning and artificial intelligence

Keywords

epoch, model training, convolutional neural network, recurrent neural network, layers, image segmentation, computer vision, image classification

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