A Deep Learning-Based Seed Classification with Mobile Application

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Turkish Journal of Mathematics and Computer Science
Volume:13 Issue:1
A Deep Learning-Based Seed Classification with Mobile Application

A Deep Learning-Based Seed Classification with Mobile Application

Authors : Yusuf BAŞOL, Sinan TOKLU

Pages : 192-203

Doi:10.47000/tjmcs.897631

View : 36 | Download : 5

Publication Date : 2021-06-30

Article Type : Research Paper

Abstract :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.
Keywords : Deep learning, convolutional neural networks, seed classification, mobile application

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