Klasifikasi Penyakit Padi berdasarkan Citra Daun Menggunakan Model Terlatih Resnet101

Rice is a staple food source for most countries in the world, including Indonesia. The problem of rice disease is a problem that is quite crucial and is experienced by many farmers. Approximately 200,000 - 300,000 tons per year the amount of rice attacked by pests in Indonesia. Considerable losses are caused by the disease of rice plants that are too late to be diagnosed so that they reach a severe stage and cause crop failure. Ignorance of farmers as well as limited and lack of information about diseases and proper treatment are factors that cause delays in handling rice diseases. Therefore, in this study the developed model can classify three types of rice plant diseases using Rice Leaf Disease images. The three types of disease include: Bacterial Leaf Blight, Brown Spot, and Leaf Smut. The model developed using the transfer learning method with a pretrained model of Resnet101 with additional architectural layer in the Fully Connected Layer section in the form of: Dense Layer, Dropout Layer, and Batch Normalization Layer. The proposed method shows a classification performance of 100% on validation data, with a loss value of 5.61%.