A Novel Automated Cloud-Based Image Datasets for High Throughput Phenotyping in Weed Identification.

A greenhouse-based automatic data acquisition system generated a dataset encompassing six weed species and eight crop varieties. The dataset has been made publicly accessible to facilitate advancements in weed and crop detection research utilizing computer vision and AI techniques.

If you want to used this data please cite our paper G C, S., Koparan, C., Upadhyay, A., Ahmed, M. R., Zhang, Y., Howatt, K., and Sun, X. (2024). A Novel Automated Cloud-Based Image Datasets for High Throughput Phenotyping in Weed Classification. Data in Brief .

基于温室的自动数据采集系统生成了一份数据集，该数据集涵盖了六种杂草和八种作物品种。该数据集已公开发布，旨在促进利用计算机视觉和人工智能技术开展杂草与作物检测研究的进步。若欲使用本数据集，请引用我们的论文：G C, S., Koparan, C., Upadhyay, A., Ahmed, M. R., Zhang, Y., Howatt, K., 及 Sun, X. (2024). 一种新型自动化云平台图像数据集在杂草分类高通量表型分析中的应用。Data in Brief。