TY  - JOUR
TI  - A Deep Learning-Based Seed Classification with Mobile Application
AB  - 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.
AU  - BAŞOL, YUSUF
AU  - TOKLU, Sinan
DO  - 10.47000/tjmcs.897631
PY  - 2021
JO  - Turkish Journal of Mathematics and Computer Science
VL  - 13
IS  - 1
SN  - 2148-1830
SP  - 192
EP  - 203
DB  - TRDizin
UR  - http://search/yayin/detay/493789
ER  -