| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Experimental and Applied Acarology |
| Dergi ISSN | 0168-8162 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q4 |
| Makale Dili | İngilizce |
| Basım Tarihi | 10-2020 |
| Cilt No | 82 |
| Sayı | 3 |
| Sayfalar | 335 / 346 |
| DOI Numarası | 10.1007/s10493-020-00561-8 |
| Makale Linki | http://link.springer.com/10.1007/s10493-020-00561-8 |
| Özet |
| This study uses an image-processing technique to determine the damage level caused by two-spotted spider mite (Tetranychus urticae Koch) to cucumber plants and changes in the number of mites in a greenhouse. Firstly, a new agricultural platform was developed to ensure camera stability for capturing quality images. The images of 50 leaves infested with T. urticae were captured weekly for 5 weeks with the platform, which resulted in 250 images. Fifty of these captured images were randomly selected and processed with an image-processing algorithm developed using an image processing toolbox module of MATLAB. The results obtained from the image processing algorithm were compared with expert observations. The image-processing method predicted the damage with 3.91 root mean squared error (RMSE). A highly significant positive relationship was found between image processing and expert observations. The results indicate that this new image-processing method may be successfully used in place of expert observation to determine T. urticae damage in greenhouses. |
| Anahtar Kelimeler |
| Agricultural robots | Agricultural platforms | Image processing | Two-spotted spider mite | Cucumber |
| Dergi Adı | EXPERIMENTAL AND APPLIED ACAROLOGY |
| Yayıncı | Springer Science and Business Media Deutschland GmbH |
| Açık Erişim | Hayır |
| ISSN | 0168-8162 |
| E-ISSN | 1572-9702 |
| CiteScore | 3,4 |
| SJR | 0,496 |
| SNIP | 0,754 |