Klasifikasi Penyakit Tanaman Cabai Rawit Dilengkapi Dengan Segmentasi Citra Daun dan Buah Menggunakan Yolo v7

Diseases that attack chili plants can be diagnosed early by observing symptoms or changes occur in the leaves and fruit of plant. However, diseases pests within a single plant vary. In this study, YOLO v7 was used to perform leaf segmentation on images, segmented results were then classified for disease using Deep Convolutional Neural Network (DCNN) Transfer Learning with Fine Tuning method. The test constructed model showed Yolo accuracy 0.970 mAP50 when performing segmentation. For DCNN testing transfer learning method EfficientNetV2M based model, an value 0.912 obtained classification 0.889 classification.
 Keyword: Chili Plant Diseases; Classification; Learning,