A machine learning approach for grain crop's seed classification in purifying separation; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

A machine learning approach for grain crop's seed classification in purifying separation; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

Бібліографічні деталі
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012177, 6 p.]
Автор: Vlasov A. V. Andrey Vladimirovich
Співавтор: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Інші автори: Fadeev A. S. Aleksandr Sergeevich
Резюме:Title screen
The paper presents a study of the machine learning ability to classify seeds of a grain crop in order to improve purification processing. The main seed features that are hard to separate with mechanical methods are resolved with the use of a machine learning approach. A special training image set was retrieved in order to check if the stated approach is reasonable to use. A set of tests is provided to show the effectiveness of the machine learning for the stated task. The ability to improve the approach with deep learning in further research is described.
Мова:Англійська
Опубліковано: 2017
Предмети:
электронный ресурс
труды учёных ТПУ
машинное обучение
классификация
семена
зерновые культуры
очистка
Онлайн доступ:http://dx.doi.org/10.1088/1742-6596/803/1/012177
http://earchive.tpu.ru/handle/11683/38212
Формат: Електронний ресурс Частина з книги
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654468

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