Annotated Sugarcane Plants
收藏Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/ydr8vgg64w
下载链接
链接失效反馈官方服务:
资源简介:
Ubaid, M.T.; Javaid, S. Precision Agriculture: Computer Vision-Enabled Sugarcane Plant Counting in the Tillering Phase. Journal of Imaging 2024, 10, 102. https://doi.org/10.3390/jimaging10050102
Description
Plant annotation is the process of identifying and naming certain aspects or characteristics of plant species, usually for research, categorization, or agriculture. This technique is frequently done out manually by specialists or using automated systems that employ picture recognition technologies. Annotations give useful information on plants' morphology, phenology, diseases, and genetic characteristics. They may include labels for anatomical structures. Annotations may also include categorizing plants based on their development stage, health status, or species identification. Plant annotations are used in agriculture to monitor crop development, detect pests and diseases, optimize cultivation practices, and improve production estimates. Additionally, annotated plant datasets are useful resources for training machine learning models for automated plant recognition and analysis tasks.
The images were labeled using the labeling tool "labelImg". The cane under the leaves was labeled. Annotating the images was difficult because the cane section was so little. Labeling needs care and accuracy while drawing a bounded box around the cane. For 175 photos of data, around 18650 bounding boxes were drawn. The bounding boxes were allocated the class name "sugarcane".
创建时间:
2024-05-30



