Count of main pest of Oil-Bearing (Rosa damascena Miller)’s Rose Soft Scale (Rhodococcus perornatus Cockerell & Parrott) by using image processing methods

Harmful counting of oil roses is carried out by agricultural experts using direct counting method (under stereomicroscope, generally 40X Zoom). But frequent influences from human situations such as fatigue, boredom and carelessness cause counting errors. The method of outputting the project differs because it is a method which has not been applied in this field before and because error rate is not reduced to zero. Dish samples taken from the oil roses grown in Isparta central region were separated into 1.5 cm pieces and prepared for measurement. 13 sample branch images were taken by Leica brand Z16 APO model macroscope (1X Magnification); (0.57 Zoom factor); (16: 1 Zoom) scaled. Acquired images were processed in the Leica las 4.50 microscope software platform by performing the necessary image quality enhancement operations. Images from the macroscope are converted into countable form by Matlab program and software language using morphological image processing methods. An algorithm has been created to determination of the 2.nimf adults cochineal, 1.nimf cochineal and 2.nimf cochineal and calculate average cochineal dimensions. Counting was done and schedules were arranged according to the written algorithm