TY  - JOUR
TI  - Deep Learning Based Classification for Hoverflies (Diptera: Syrphidae)
AB  - Syrphidae is essential in pollinating many flowering plants and cereals and is a family with high species diversity in the order Diptera. These family species are also used in biodiversity and conservation studies. This study proposes an image-based CNN model for easy, fast, and accurate identification of Syrphidae species. Seven hundred twenty-seven hoverfly images were used to train and test the developed deep-learning model. Four hundred seventy-nine of these images were allocated to the training set and two hundred forty-eight to the test dataset. There are a total of 15 species in the dataset. With the CNN-based deep learning model developed in this study, accuracy 0.96, precision 0.97, recall 0.96, and f-measure 0.96 values were obtained for the dataset. The experimental results showed that the proposed CNN-based deep learning model had a high success rate in distinguishing the Syrphidae species.
AU  - Çiftçi, Derya
AU  - UTKU, Anıl
AU  - AYAZ, ZAFER
AU  - Akcayol, M. Ali
DO  - 10.51963/jers.v25i3.2445
PY  - 2023
JO  - Journal of the Entomological Research Society
VL  - 25
IS  - 3
SN  - 1302-0250
SP  - 529
EP  - 544
DB  - TRDizin
UR  - http://search/yayin/detay/1208859
ER  -