Turkish Journal of Mathematics and Computer Science

Yazarlar: Yusuf BAŞOL, Sinan TOKLU

Konular:Mühendislik

DOI:10.47000/tjmcs.897631

Anahtar Kelimeler:Deep learning,Convolutional neural networks,Seed classification,Mobile application

Özet: Seed quality is an essential factor in agricultural production. Some seeds are inherently small so it is difficult to identify and classify differences between species. In the traditional method, these differences are classified by experts considering the morphological structure, texture and color. This method involves a classification process that is costly, subjective and time confusing, what makes it necessary to develop a process that can automatically detect the type of seeds. In this study, a mobile application has been developed that quickly detects and classifies seed images with high accuracy using CNN, one of the deep learning techniques.

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