ALGORITME IMAGE PROCESSING PENDUGAAN LUASAN SERANGAN PENYAKIT TUNGRO PADA PADI MELALUI PENDEKATAN FOTO UDARA

Tungro is one cause of crop failure. The calculation of the extent of the attack is very important to determine dimension of the attack on a land. Aerial photograph is one of the technologies that can be used to predict the extent of tungro disease. The development of image processing algorithms should be developed to predict the extent of attacks with aerial photographs. The purpose of this research was to develop an application that can be used to predict the extent of tungro disease on rice field. Adobe Photoshop CS 6 and Matlab R2013a were used to develop the program to estimate the attacked area. This research consists of several steps, i.e image acquisition, preprocessing, thresholding, image morphology operation, pixel calculation, calculation of the area of attack. The algorithm of this study were: image acquisition, color normalization, mosaicking, resize, scale calculation, land pixel calculation, pixel attack calculation, calculation of attack area, and percentage of attack. T test is performed on data of percentage estimation of attack result from the aerial photograph algorithms and manual calculation using planimeter. From the T test results obtained that both data were relatively similar, respectively 19,605% and 19,180%.