Multicopter usage for analysis productivity in agriculture on GAP region
Yazarlar (4)
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | 2015 23nd Signal Processing and Communications Applications Conference (SIU) | ||
| Kongre Tarihi | / | ||
| Basıldığı Ülke | Basıldığı Şehir | ||
| Bildiri Linki | https://ieeexplore.ieee.org/abstract/document/7130027/ | ||
| UAK Araştırma Alanları |
Bilgisayar Yazılımı
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| Özet |
| Monitoring large agriculture land in GAP region is important for productivity in agriculture. However, the ground monitoring is not effective. It also causes serious loss of time. Therefore, the analysis by image processing algorithms of agricultural land from a certain elevation will be a very effective solution. The quadcopter that is preferred rotor system is used for image capture. Image stabilities and ease to control is important for image analysis. DJ Phantom Vision 2 is used as a prototype. The images were analyzed from color parameters that obtained from the air of agricultural areas displaying. HSI color space analysis is preferred for color. Analysis was performed with obtained images to make green colors and shades segmentation. This project is supported by TUBITAK 2241 to 2013 11 support period program. |
| Anahtar Kelimeler |
