earticle

영어

The recognition of crop diseases and pests based on images is one of the required techniques to identify damage due to diseases and pests and to take efficient management and prior actions. With the development of deep learning technology, the image recognition of diseases and pests using deep learning exhibited excellent performance and plays an important role in managing and controlling diseases and pests of crops. However, research on image recognition of diseases and pests in crops is facing difficulties due to the lack of large-scale datasets about diseases and pests. To solve this problem, this study proposes a system to manage and annotate the images of diseases and pests that can efficiently manage collected disease and pest images to generate high-quality disease and pest datasets. The proposed disease and pest image management and annotation system can collect disease and pest images uploaded from various sources and create statistics of them. It can also provide image inspection and user-friendly annotation functions.