| dc.description.abstract | Citrus plants are a type plant that is often found around the world and is spread throughout Asia, the Mediterranean, Africa, to South and North America. Citrus fruit has high nutritional value which makes it very good and popular as a food and drink . As a fruit that has many merits, citrus become a kind of fruit that has high economic value. On the one hand, citrus plants are also susceptible to disease and pest attacks which reduce their value, especially in terms of market value. Because of the popularity of the citrus fruit, a plenty of people become interested in started owning an orange orchards. Among that many citrus farmers, of course there are quite a few farmers who are less observant in detecting symptoms of citrus disease through direct observation. Therefore, this needs a system that can detect citrus diseases directly so that orange farmers can identify the disease on the spot. There are three categories of disease that were classified using leaf images in this study, namely canker disease, citrus greasy spot disease, and citrus moss disease. This research uses the You Only Look Once version 8 (YOLOv8) method which is integrated on an Android device so that it can detect using the camera in real time. The amount of data used in this research was 900 image data which was used to train the model, validate the resulting model, and test the system. Based on the tests that have been carried out, the system that has been created can detect citrus leaf diseases in real time. Using YOLOv8 this research obtained an accuracy of 96.67% which was far from perfect. | en_US |
