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.
|Журнал||Journal of Physics: Conference Series|
|Состояние||Опубликовано - 1 июл 2017|
|Событие||International Conference on Information Technologies in Business and Industry 2016 - Tomsk, Российская Федерация|
Продолжительность: 21 сен 2016 → 23 сен 2016
ASJC Scopus subject areas
- Physics and Astronomy(all)