Author/Authors :
yilmaz, ayşenur suleyman demirel university, west campus - technology faculty - departmant of electrical and electronic engineering, isparta, Turkey , çakir, abdulkadir suleyman demirel university, west campus - technology faculty - departmant of electrical and electronic engineering, Isparta, Turkey , demirözer, ozan suleyman demirel university, east campus - agricultural faculty - departmant of plant protection, Isparta, Turkey
Title Of Article :
Counts of rose soft scale (Rhodococcus perornatus Cockerell Parrott) (Hemiptera: Coccidae) by using image processing methods
Abstract :
the rose soft scale (Rhodococcus perornatus Cockerell Parrott) (Hemiptera: Coccidae) is the main pest of oil-bearing rose in Isparta (Turkey). It spends all periods of the life on oil-bearing rose (Rosa damascena Miller) and damage rose plants by sucking the sap. Population density, which is the first step of the struggle with pests, is estimated by regular sampling and counting. However, in case of insects that can reach an overly dense population level, as in Coccidae, census errors are frequently caused by different conditions in census studies. In this study, infested rose twigs infested by different life stages of the pest (1st nymph instar, 2nd nymph instar, female(adult)) were provided from different oilbearing orchards in Isparta at different time stages in the seasons and the twig samples were cut as 1.5 cm pieces for the purpose of image taking and counting. İmaging were done by Leica (Z16 APO; 40X Magnification). 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 (R2016b version) and Matlab software language using morphological image processing methods. An algorithm has been created to determinate female(adult), 1st and 2nd nymphs of rose soft scale and calculate average size of the different life stages. Counting was done and tables were arranged according to the created algorithm.
NaturalLanguageKeyword :
Image processing pest , Isparta , Rosa damascena , Turkey
JournalTitle :
The Journal Of Ege University Faculty Of Agriculture
