A Novel Automated Cloud-Based Image Datasets for High Throughput Phenotyping in Weed Identification.
Description
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 .
Files
Steps to reproduce
Please refer to the paper on how the dataset was obtained and preprocessed. 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 .
Institutions
Categories
Funding
National Institute of Food and Agriculture
ND01487
U.S. Department of Agriculture
58-6064-8-023