| 1 | info | Detection of Damage Caused by Some Vineyard Pests with the YOLOv8x Model Using Deep Learning and Object Detection Methods | UYGUN TAHSİN,ÖZGÜVEN MEHMET METİN,YANAR DÜRDANE | Turkish Journal of Agriculture - Food Science and Technology | 2024 | Uluslararası, Hakemli, Elektronik, TR DİZİN |
| 2 | info | A new approach for artificial pollination in walnut trees: AirPoll | AKÇA YAŞAR,ÖZGÜVEN MEHMET METİN,ALTAŞ ZİYA,UYGUN TAHSİN | Journal of Environmental Management | 2024 | Uluslararası, Hakemli, Elektronik, SCI-Expanded |
| 3 | info | Determination of Tomato Leafminer - Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) damage on tomato using deep learning instance segmentation method | UYGUN TAHSİN,ÖZGÜVEN MEHMET METİN | EUROPEAN FOOD RESEARCH AND TECHNOLOGY | 2024 | Uluslararası, Hakemli, Elektronik, SCI-Expanded |
| 4 | info | Real-Time Detection of Shot-Hole Disease in Cherry Fruit Using Deep Learning Techniques via Smartphone | UYGUN TAHSİN,ÖZGÜVEN MEHMET METİN | Applied Fruit Science | 2024 | Uluslararası, Hakemli, Elektronik, SCI-Expanded |
| 5 | info | A new approach to monitor and assess the damage caused by two-spotted spider mite | UYGUN TAHSİN,ÖZGÜVEN MEHMET METİN,YANAR DÜRDANE | Experimental and Applied Acarology | 2020 | Uluslararası, Hakemli, Elektronik, SCI-Expanded |