Lonicera japonica is a traditional Chinese herbal medicine, and root rot is a common systemic disease on Lonicera japonica, and the occurrence of root rot seriously affects the yield and quality of Lonicera japonica. In this paper, we study to realize the detection of root rot plants in a wide range of Lonicera japonica fields based on UAV remote sensing images to help accurately detect and treat root rot plants. A YOLOX target detection model was trained using UAV orthophotos to identify root rot disease plants and healthy plants in the field. After training and optimization, the average precision (Average Precision, AP) of the model reached 91.75% and 94.44%, respectively, which can efficiently and accurately detect root rot plants in the field for timely treatment.
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