1. Recognizing wheat aphid disease using a novel parallel real-time technique based on mask scoring RCNN;Kukreja,2022
2. Automatic segmentation of overlapped poplar seedling leaves combining mask R-CNN and DBSCAN;Liu;Comput. Electron. Agric.,2020
3. A systematic review on image processing and machine learning techniques for detecting plant diseases;Gobalakrishnan,2020
4. Implementation of automated annotation through mask RCNN object detection model in CVAT using AWS EC2 instance;Guillermo,2020
5. IoT and deep learning based smart greenhouse disease prediction;Pothuganti,2021