Deep Learning in Plant Omics: Object Detection and Image Segmentation

Object detection and image segmentation are powerful computer vision techniques that have been widely used in plant phenotyping tasks, such as the identification of crop diseases/insects and the measurement/counting of organs (leaves, stems, fruits, etc.). This chapter summarizes recent object detection and image segmentation techniques and public datasets developed for plant phenotyping, discusses their current challenges, particularly focusing on model generalization capability, and offers a perspective on future approaches to make these techniques more helpful to the plant science community.