SMALL FORMAT AERIAL PHOTOGRAPHY TO CONTROL CHROMOLAENA ODORATA WEED

Abstract

Chromolaena odorata is a weed that interferes with oil palm plantation activities. Chromolaena odorata /kirinyuh/ Siamese weed easily grows anywhere, experiences very fast growth, and forms a tight-knit community. This weed has a competitive character that grows faster than the native plant species and may become invasive in the future. Information on the distribution pattern of these weeds has not been done much. Small-format aerial photography technology is expected to be able to trace the distribution pattern of Chromolaena odorata as information for decision-making to deal with this weed. This is due to the presence of invasive plants such as C. odorata in an ecosystem which will expand more and more, threatening the existence of endemic plants. the presence of these weeds is likely to hinder the restoration of the rehabilitation land ecosystem into a forest ecosystem. Small-format aerial photography technology takes pictures from the air and produces orthophoto images. The results of orthophoto images are processed to process requests. KMeans Clustering is used to generate call results. Parameter k is 2 to produce the desired cluster, namely the Chromolaena odorata cluster and not the Chromolaena odorata cluster. The clustering results are expected to be a reference for the map of the distribution pattern of Chromolaena odorata weeds.