Identifikasi Penyakit Downy Mildew dan Watermelon Mosaic Virus pada Tanaman Semangka dengan Menggunakan Algoritma SSD MobileNet V2 Berbasis Mobile

Abstract

Watermelon (Citrullus lanatus) is a type of fruit commodity with high production in Indonesia. In the process of cultivating watermelon, there are several diseases that commonly attack watermelon plants, including Downy Mildew and Watermelon Mosaic Virus. This disease has similar initial symptoms, namely white spots all over the leaves, although it is caused by two different things, namely fungi and viruses. This disease can be seen from the shape and color of the watermelon leaves. The initial symptoms of both diseases are white spots all over the leaves. Testing was carried out using images of watermelon leaves sourced from the public Kaggle data set. The results show that the MobileNet V2 SSD produces a high level of accuracy, where the overall accuracy average reaches 91.6%. The method in this application has the potential to be applied in the watermelon farming industry to detect early Downy Mildew and Watermelon Mosaic Virus diseases.