DocumentCode
2869473
Title
Multicopter usage for analysis productivity in agriculture on GAP region
Author
Tabanlioglu, Ahmet ; Yucedag, Adil Cagatay ; Tuysuz, Mehmet Fatih ; Tenekeci, Mehmet Emin
Author_Institution
Bilgisayar Muhendisligi Bolumu, Erciyes Univ., Kayseri, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
1102
Lastpage
1105
Abstract
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.
Keywords
agriculture; autonomous aerial vehicles; control engineering computing; helicopters; image colour analysis; image segmentation; robot vision; 2013 11 support period program; DJ phantom vision 2; GAP region; HSI color space analysis; TUBITAK 2241; agricultural land; agriculture productivity analysis; green colors; ground monitoring; image capture; image processing algorithms; image stabilities; large agriculture land; multicopter usage; shades segmentation; Agriculture; Artificial neural networks; Image color analysis; Monitoring; Phantoms; Productivity; Solar radiation; Analysis Productivity in Agriculture; Image Processing; Multi copter;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130027
Filename
7130027
Link To Document