A machine learning approach for grain crop's seed classification in purifying separation

International Conference on Information Technologies in Business and Industry 2016

计算机科学;经济学;工业技术

Vlasov, A.V.^1 ; Fadeev, A.S.^1

Tomsk Polytechnic University, Lenina Ave., 30, Tomsk

634050, Russia^1

关键词: Grain crops;    Machine learning approaches;    Mechanical methods;    Training image;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/803/1/012177/pdf
DOI  :  10.1088/1742-6596/803/1/012177

来源: IOP

【 摘 要 】

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.